teleport-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@teleport-mcpShow me an overview of the Teleport service and its connections."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
teleport-mcp
An MCP server that lets an LLM agent drive a TeleportXR headless client: connect to Teleport servers, move an avatar, send input, and inspect the geometry a server has streamed.
Why this exists
The headless client is two processes. teleportd is a service that owns live streaming
connections; teleport_cli is a thin front end that sends it commands and exits. That split
is what makes agent control possible at all: an agent issues a command, reports to the user,
waits for feedback, and acts again — three tool calls that may be minutes apart. A session
that died with its terminal could not support that flow.
This package is the adapter. It speaks MCP over stdio to the agent, and the
local control protocol over a loopback socket
to teleportd.
Related MCP server: textual-mcp-server
Requirements
Node 22 or later.
A
teleportdbinary. Build it from theTeleport/repo:cd ../Teleport && cmake -B build_pc_client -S . && cmake --build build_pc_client
Install
npm installConfigure
Claude Code
Add to .mcp.json at the root of the workspace:
{
"mcpServers": {
"teleport": {
"command": "node",
"args": ["teleport-mcp/src/index.js"]
}
}
}Claude Desktop
Absolute paths, since the working directory is not the workspace:
{
"mcpServers": {
"teleport": {
"command": "node",
"args": ["/home/you/teleport/teleport-mcp/src/index.js"],
"env": {
"TELEPORTD_PATH": "/home/you/teleport/Teleport/build_pc_client/bin/teleportd"
}
}
}
}Environment
Variable | Purpose |
| Control port. Default 10510. |
| Path to the |
| Set to |
Tools
Tool | Does |
| Service version, all connections, current identity — start here |
| Open a connection; returns its id |
| Every open connection with its state |
| State, server, latency, inputs and mode for one connection |
| Close one connection |
| Move and/or turn the avatar |
| Inputs the server has declared |
| Send a binary, analogue or motion input event |
|
|
| Summary, node list, or pointer resources |
| Show, start or clear the sign-in |
| Any control command verbatim — the escape hatch |
Every tool returns the service's JSON data object as structuredContent, alongside a text
rendering of the same object.
The agent flow
teleport_overview → is anything already connected?
teleport_connect address=host:8080 → { id: 1 }
teleport_connection_status id=1 → poll until state is CONNECTED
teleport_set_mode id=1 mode=simulated
teleport_get_geometry id=1 what=nodes → what the server sentTwo things that are not guessable, and that the tool descriptions repeat:
teleport_connectreturns before the connection completes. The id is valid immediately; the connection is still negotiating. Pollteleport_connection_statusuntilstateisCONNECTED.Connections outlive the conversation. A connection opened in one session is still there in the next. Call
teleport_overviewbefore assuming you need a new one.
Signing in
Sign-in is an OAuth device-code flow, and the service has no browser. teleport_identity with
action: "signin" starts it; poll action: "show" and read pendingSignIn for the URL and
code to relay to the user.
Shutting down
shutdown stops the service and every live stream with it. It is deliberately not a tool —
reach it through teleport_raw_command if you mean it.
Development
npm test # framing, dot-stuffing, reconnect, and the command mapping
node smoke.mjs # end-to-end: spawns the server, autostarts teleportd, calls every toolsmoke.mjs honours TELEPORT_SERVICE_PORT, so run it on a scratch port (10599) rather than
against a service you are using.
How it talks to the service
The control protocol is one request line in, dot-stuffed lines out, terminated by a lone .,
with an OK / ERROR <message> status header. Three properties shape src/control-client.js:
No message ids. A socket carries one request at a time, so concurrent tool calls queue rather than interleave.
Session state is per-socket. The output format and the selected connection are lost if the socket drops, so the client re-sends
format jsonon every connect and re-selects the connection before every connection-scoped command rather than trusting an earlieruse.uids are strings.
avs::uidis 64-bit and Teleport's uids exceed 2^53, so they cross the wire as decimal strings — the same conventionteleport-web-clientandteleport-nodejsuse.
src/daemon.js starts the service if it is not running and never stops it. That is the
point of the split.
Licence
MIT.
Available Tools
12 toolsteleport_connectConnect to a Teleport serverA
Open a connection to a Teleport server and return its id. The attempt is ASYNCHRONOUS: this returns as soon as it is initiated, not when it succeeds. Poll teleport_connection_status until state is CONNECTED. The connection outlives this conversation — it is still there in a later session.
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | host or host:port, e.g. 127.0.0.1:8080. "teleport://" is added if no scheme is given. |
Output Schema
| Name | Required | Description |
|---|---|---|
| id | Yes | |
| url | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden. It transparently discloses critical behavioral traits: the call is ASYNCHRONOUS, returns an id immediately, and the connection persists beyond the conversation. This is exactly the kind of non-obvious behavior an agent must know. It could have mentioned failure modes, but the provided details are highly valuable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences, each earning its place: the core action, the asynchronous caveat, and the persistence warning. It is front-loaded with the main purpose and uses efficient formatting (capitalized ASYNCHRONOUS, em-dash) to draw attention to key details without waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter tool with an output schema, the description covers all essential operational context: how to initiate, that it returns an id, how to verify success via polling, and the persistence caveat. This is sufficiently complete for an agent to use the tool correctly even in a later session.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already fully describes the single parameter 'address' with format examples and default scheme behavior. The tool description adds no additional parameter semantics beyond the schema, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource: 'Open a connection to a Teleport server and return its id.' This clearly states the tool's function and distinguishes it from sibling tools like teleport_list_connections or teleport_connection_status. The mention that the connection outlives the conversation further sharpens its purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives clear procedural guidance: 'Poll teleport_connection_status until state is CONNECTED.' This tells the agent exactly how to follow up and confirms the asynchronous nature. It does not explicitly list when not to use or name alternatives, but the sibling context and clear connect action make usage obvious.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_connection_statusConnection statusA
State of one connection: state (UNCONNECTED, OFFERING, AWAITING_SETUP, HANDSHAKING, CONNECTED, RECONNECTING, DISCONNECTED), server, latency, available inputs and mode. Poll this after teleport_connect.
| Name | Required | Description | Default |
|---|---|---|---|
| connectionId | Yes | Connection id, as returned by teleport_connect or teleport_list_connections. |
Output Schema
| Name | Required | Description |
|---|---|---|
| id | Yes | |
| mode | Yes | |
| port | Yes | |
| state | Yes | |
| server | Yes | |
| latencyMs | Yes | |
| hasSession | Yes | |
| inputsAvailable | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosing behavioral traits. It lists the returned fields and state values, which is useful, but it doesn't explicitly state that the tool is read-only, has no side effects, or what happens if the connection ID is invalid. For a status query, this is implied but not explicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, dense sentence that packs in the purpose, key return fields, state enum, and usage timing without any fluff. Every word adds value, making it highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema and the simplicity of the tool (one parameter, status query), the description is quite complete. It specifies what is returned, when to call it, and it's clearly scoped to one connection. The only gap is an explicit statement of preconditions or error handling, but this is minor.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema fully documents the single parameter with 100% coverage, including its source (returned by teleport_connect or teleport_list_connections). The description adds no additional parameter-level detail beyond what the schema already provides, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly indicates the tool reports the status of a single connection, listing specific fields like state, server, latency, inputs, and mode. It distinguishes itself from teleport_list_connections by stating 'one connection,' and the explicit state enum values add specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'Poll this after teleport_connect' gives explicit timing guidance, indicating when this tool is appropriate. It doesn't explicitly rule out alternatives, but the context is clear enough for an agent to select it for checking a single connection's status.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_disconnectDisconnectA
Close one connection. The service and any other connections keep running.
| Name | Required | Description | Default |
|---|---|---|---|
| connectionId | Yes | Connection id, as returned by teleport_connect or teleport_list_connections. |
Output Schema
| Name | Required | Description |
|---|---|---|
| disconnected | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It adds valuable behavioral context by stating that 'the service and any other connections keep running,' clarifying that this is a non-destructive, scoped operation. This goes beyond a simple 'close' and gives the agent important safety information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, front-loaded with the core action, and every word earns its place. No unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (one parameter, no nested objects), the presence of an output schema, and the description's clear explanation of what is and isn't affected, the tool is fully described. The only missing element is explicit usage guidance, which is handled in its own dimension.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already provides 100% coverage for the sole parameter, including its type, origin, and constraints. The description adds no further parameter meaning, so a baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Close one connection' uses a specific verb and resource, clearly distinguishing it from siblings like teleport_list_connections or teleport_set_pose. The scope is explicit: it closes exactly one connection, not all connections.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool (when you want to close a single connection) but does not explicitly state alternatives or when not to use it. The phrase 'one connection' hints at scope but lacks direct guidance on prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_get_geometryReport streamed geometryA
What the server has streamed to this connection. summary gives counts; nodes lists the tracked scene nodes; resources lists pointer URLs and uids referenced but never sent. uids are decimal strings, not numbers — they exceed what a JSON number can hold.
| Name | Required | Description | Default |
|---|---|---|---|
| what | No | summary | |
| connectionId | Yes | Connection id, as returned by teleport_connect or teleport_list_connections. |
Output Schema
| Name | Required | Description |
|---|---|---|
| hasCache | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosing behavior. It explains the differences between summary/nodes/resources and adds an important caveat that uids are decimal strings because they exceed JSON number limits. It implicitly indicates a read-only report operation, though it could be more explicit about being non-mutating.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three succinct sentences, front-loaded with the overall purpose, then expanding into parameter-specific details. Every sentence adds value, including the uids type caveat, with no unnecessary filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists, return format details are not necessary. The description covers the main behavioral variants and a key data-type pitfall, making it sufficient for tool selection and invocation. It could mention potential size or pagination, but that is not essential for this tool's core use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning to the 'what' parameter beyond the bare enum, explaining what each value returns (counts, tracked nodes, pointer URLs/uids never sent). connectionId is already described in the schema, so the description compensates for the 50% schema coverage gap without duplicating known information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states what the tool does: it reports geometry the server has streamed to a connection, with specific sub-modes (summary, nodes, resources). This distinguishes it from sibling tools like teleport_connection_status and teleport_overview by focusing on streamed geometry contents.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context on when to use this tool (to inspect streamed geometry) and explains the available 'what' options, which guides selection among sub-uses. It does not explicitly mention alternatives or exclusions, but the context is sufficiently clear for an agent to choose it appropriately.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_identityIdentityA
Show, start or clear the service identity. Sign-in uses a device code: action=signin starts it, then poll action=show and read pendingSignIn for the URL and code to give the user. The service has no browser, so relaying that prompt is the only way in.
| Name | Required | Description | Default |
|---|---|---|---|
| action | No | show | |
| provider | No | signin only; defaults to the first interactive provider. |
Output Schema
| Name | Required | Description |
|---|---|---|
| signedIn | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosure. It reveals the asynchronous nature of sign-in, the need to poll for results, and the external user interaction required. This goes well beyond the schema by explaining the 'how' and 'why' of the behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences: the first states the core purpose, the second explains the most complex usage flow. No filler or redundancy, and it front-loads the key information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema is present, return values need not be explained. The description covers the tool's actions, the sign-in flow, and the constraint, making it fully sufficient for an agent to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50% (provider is described, action is not). The description clarifies the action parameter by showing how 'signin' and 'show' are used in the flow, though it doesn't explicitly explain the 'signout' action or the provider parameter. This partial compensation is strong but not complete.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states 'Show, start or clear the service identity,' giving a specific verb+resource and distinguishing this tool from sibling tools focused on connections, inputs, or geometry. The reference to the device-code flow further clarifies the tool's unique purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides an explicit step-by-step usage for the sign-in flow: start with action=signin, poll action=show, and relay pendingSignIn. It also explains the rationale ('The service has no browser, so relaying that prompt is the only way in'). It doesn't name an alternative tool, but the context makes it clear when to use this identity tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_list_connectionsList connectionsB
Every connection the service currently holds, with its id, URL and state.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| selected | Yes | |
| connections | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the output content (id, URL, state) but does not explicitly confirm that the operation is non-destructive or read-only. It also omits any mention of authentication requirements, potential errors, or the possibility of stale data, which are important for safe agent decision-making.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence that exactly covers the tool's purpose and output. It is front-loaded with the essential information and contains no filler or redundant phrases. For a tool with no parameters and a straightforward listing function, this level of conciseness is ideal.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has zero parameters and an output schema exists, the description does not need to elaborate on return structure. The description mentions the key fields (id, URL, state) which complements the output schema. However, it is minimal and does not cover edge cases like empty connection lists or error behavior, but these are less critical given the simple nature of the operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so schema coverage is 100% by definition. The baseline for 0 params is 4, and the description does not introduce any parameter-related ambiguity. It adds no parameter information because none exists, which is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The title 'List connections' provides the verb, and the description specifies the resource: 'Every connection the service currently holds, with its id, URL and state.' This clearly conveys a read-only listing operation. It does not explicitly distinguish itself from sibling tools like teleport_connection_status, but the phrase 'every connection' implies a comprehensive listing versus a singular status check.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It lacks any mention of expected use cases, prerequisites, or exclusions. There is no reference to sibling tools such as teleport_connection_status or teleport_disconnect, leaving the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_list_inputsList available inputsA
Inputs the server has declared for this connection, with the ids teleport_send_input takes. Empty until the connection reaches CONNECTED and the server sends its input definitions.
| Name | Required | Description | Default |
|---|---|---|---|
| connectionId | Yes | Connection id, as returned by teleport_connect or teleport_list_connections. |
Output Schema
| Name | Required | Description |
|---|---|---|
| inputs | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses key behavioral traits: the result is initially empty and depends on connection state. It also clarifies the relationship to teleport_send_input, adding useful context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, but the wording is somewhat convoluted ('Inputs the server has declared... takes'). It could be more concise and front-loaded, e.g., 'Lists the input definitions for a connection.'
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with one parameter and an output schema exists. The description covers the key contextual information (when data is available, relationship to send_input) without needing to explain return values, as output schema handles that.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the connectionId parameter is well-described in the schema. The description adds no additional parameter information, so it meets the baseline of 3 for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explains that the tool lists inputs declared by the server, with the IDs used by teleport_send_input. This is a specific verb+resource and distinguishes it from siblings like teleport_send_input, though the phrasing could be more direct.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly states that results are empty until the connection reaches CONNECTED and the server sends input definitions, giving clear timing guidance. It does not explicitly mention alternatives but implies this tool is for listing, not sending, inputs.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_overviewTeleport overviewA
Where am I: the service version, every open connection, and the current identity. Start here — one call answers whether the service is up and what it is already doing.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| service | Yes | |
| identity | Yes | |
| protocol | Yes | |
| selected | Yes | |
| connections | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full burden. It discloses return content (version, connections, identity) and the ability to answer up/down status, but does not explicitly state whether it is read-only, side-effect-free, or any permission requirements. Read-only is implied but not stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with a clear 'Where am I' anchor. Every word adds value, with no filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the zero-parameter input, the presence of an output schema, and the clear description, the tool is fully specified for agent use. The existing output schema covers return values, so the description does not need to restate them.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the input schema is trivially fully covered. No parameter descriptions are needed, and the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states what the tool does: provides service version, open connections, and current identity in one call. 'Start here' positions it as the entry point, distinguishing it from sibling tools that focus on individual aspects.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
'Start here' gives clear usage context—use this first to assess service state. However, it does not explicitly name alternative tools or provide exclusions, so there's a minor gap in when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_raw_commandRaw control commandA
Send one command line to the service verbatim, for anything the tools above do not cover (help lists them all). Note shutdown stops the service and every live stream with it, which is why it has no tool of its own.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | One command line, e.g. "help" or "use 1". |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full disclosure burden. It reveals that the command is sent 'verbatim' and specifically warns about `shutdown` stopping the service and live streams. This adds some behavioral context, but it does not mention other potential side effects, error behavior, or the lack of validation beyond the verbatim note. The warning is valuable but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is only two sentences, front-loading the primary purpose and then adding essential usage context. Every word earns its place, with no repetition of schema or annotations. It is concise yet complete for its role.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's raw command nature, the description adequately covers its purpose, when to use it relative to siblings, and a critical safety warning. An output schema exists, so return values are documented elsewhere. It could mention error handling or revocation, but for a fallback tool, the context is sufficiently complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already fully describes the `command` parameter with an example ('help' or 'use 1'), and schema coverage is 100%. The description adds no additional parameter semantics beyond what the schema provides, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Send one command line to the service verbatim.' It also defines its scope as a fallback for 'anything the tools above do not cover,' distinguishing it from the specific sibling tools. The verb 'send' and the resource 'command line' are explicit and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use this tool: for anything not covered by other tools, with a pointer to `help` for the full list. It also warns about the dangerous `shutdown` command. However, it does not explicitly state 'do not use this if a dedicated tool exists,' though that is strongly implied by the phrase 'do not cover.'
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_send_inputSend an input eventA
Send one input event. binary takes value 0 or 1; analogue takes a single float; motion takes x and y. Use teleport_list_inputs for the ids the server expects.
| Name | Required | Description | Default |
|---|---|---|---|
| x | No | motion only. | |
| y | No | motion only. | |
| kind | Yes | ||
| value | No | binary: 0 or 1. analogue: the value. Unused for motion. | |
| inputId | Yes | Input id from teleport_list_inputs. | |
| connectionId | Yes | Connection id, as returned by teleport_connect or teleport_list_connections. |
Output Schema
| Name | Required | Description |
|---|---|---|
| sent | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the disclosure burden. It explains the event types and their parameters, which helps an agent understand what data to send. However, it does not disclose potential side effects, error conditions, or whether the connection must be active, beyond the implied presence of a connectionId. This is adequate for a straightforward send action but lacks deeper behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is only two sentences and front-loads the core purpose. Every phrase adds value – the first specifies the action, the second clarifies per-kind parameter usage and directs to the companion list tool. There is no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While the description and schema cover most aspects, there is a notable gap: the schema's required fields only include connectionId, kind, and inputId, but the description does not explicitly state that value is required for binary/analogue or that x/y are required for motion. This could lead an agent to omit necessary parameters. The output schema exists, and the description mentions the prerequisite for IDs, but the missing conditional requirements reduce completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already covers most parameters (83% schema description coverage), and the description adds meaningful clarification for the kind-dependent fields. It explains that 'binary takes value 0 or 1; analogue takes a single float; motion takes x and y,' which is more explicit than the schema's per-field notes and helps agents understand how to construct the request correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Send one input event.' It enumerates the three input kinds (binary, analogue, motion) and their respective data formats, making it distinct from sibling tools like teleport_set_pose or teleport_raw_command. The verb 'send' and resource 'input event' are specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear usage context by explaining how each kind expects its value ('binary takes value 0 or 1; analogue takes a single float; motion takes x and y') and explicitly directs users to 'Use teleport_list_inputs for the ids the server expects.' This gives a concrete prerequisite and a companion tool, though it does not mention when to avoid this tool or explicit alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_set_modeSet client modeA
minimal is a network diagnostic: connectivity and stream health, no geometry decoding. simulated exercises the full geometry streaming and acknowledgement flow. Use simulated before expecting teleport_get_geometry to report anything.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | Yes | ||
| connectionId | Yes | Connection id, as returned by teleport_connect or teleport_list_connections. |
Output Schema
| Name | Required | Description |
|---|---|---|
| mode | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the transparency burden. It discloses the behavioral differences between modes (diagnostic vs. full geometry streaming) and notes the effect on teleport_get_geometry. It doesn't mention side effects of switching modes but is sufficiently transparent for the tool's purpose.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, every word earns its place. It front-loads the mode explanations and includes actionable guidance without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the moderate complexity (2 params, one enum) and presence of an output schema, the description adequately covers the modes and intended usage. It references connectionId implicitly via the connection context, and the output schema handles return values. Minor gap: doesn't explicitly state prerequisites like an active connection.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50% (connectionId is described in schema). The description adds meaning to the 'mode' parameter by explaining each enum value, while connectionId is already well-documented. This compensates for the coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The title 'Set client mode' clearly states the tool's purpose, and the description elaborates on the two modes. It distinguishes from siblings like teleport_set_pose by focusing on mode selection, though it doesn't explicitly mention alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance for when to use the 'simulated' mode ('Use simulated before expecting teleport_get_geometry to report anything') and explains 'minimal' as a diagnostic. It gives context for mode choice but does not discuss when to use this tool vs. alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
teleport_set_poseSet avatar poseA
Move and/or turn the client avatar. Position is metres, orientation is a quaternion. At least one of position or orientation must be given.
| Name | Required | Description | Default |
|---|---|---|---|
| position | No | [x, y, z] | |
| orientation | No | [qx, qy, qz, qw] | |
| connectionId | Yes | Connection id, as returned by teleport_connect or teleport_list_connections. |
Output Schema
| Name | Required | Description |
|---|---|---|
| position | No | |
| orientation | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context like units ('metres') and the quaternion format, and states the prerequisite that at least one of position/orientation is required. However, it does not disclose potential side effects, whether the movement is instantaneous, coordinate system, or any state restrictions. The core behavior (moving/turning the avatar) is clear, but depth is lacking.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long and front-loaded with the primary purpose. The second sentence adds essential technical details without unnecessary filler. Every word contributes, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (3 parameters, 1 required) and the presence of an output schema, the description covers the essential context: purpose, units, and the minimum-parameter condition. It doesn't fully explain all behavioral nuances (e.g., coordinate system, effects), but the output schema likely covers return values. It is reasonably complete for an experienced agent, though not exhaustive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already covers 100% of parameters with descriptions, so baseline is 3. The description adds meaningful value by clarifying that 'Position is metres' and that orientation is a quaternion (though schema hints at it). More importantly, it states the cross-parameter constraint 'At least one of position or orientation must be given,' which is not captured in the schema's required list. This goes beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Move and/or turn the client avatar.' This is a specific verb+resource combination that distinguishes it from siblings like teleport_connect or teleport_set_mode. The description also specifies the two possible actions (position and orientation), making its purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage by stating it moves/turns the avatar, but it does not explicitly mention when to use this tool versus alternatives or when not to use it. The added note 'At least one of position or orientation must be given' is a parameter constraint rather than tool-selection guidance. No exclusions or alternative tools are named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
12 tool updates
v0.1.0- First observed
teleport_connect - First observed
teleport_connection_status - First observed
teleport_disconnect - First observed
teleport_get_geometry - First observed
teleport_identity - First observed
teleport_list_connections - First observed
teleport_list_inputs - First observed
teleport_overview - First observed
teleport_raw_command - First observed
teleport_send_input - First observed
teleport_set_mode - First observed
teleport_set_pose
TDQS
Most tools target distinct operations (connect, disconnect, status, inputs, geometry, identity). However, teleport_overview and teleport_list_connections both list open connections, and teleport_identity's show overlaps with overview's identity display, creating potential for misselection.
All tools share the teleport_ prefix, but the verb-noun pattern is inconsistent: some use verbs (list_connections, set_pose), some are bare verbs (connect, disconnect), and others are nouns (overview, identity, raw_command). This mixing makes the API less predictable.
12 tools is well-scoped for a connection management service, covering lifecycle, input, geometry, and identity without obvious bloat. Each tool serves a distinct purpose, and the raw command fallback justifies the count.
The core connection lifecycle (connect, status, disconnect) is covered, along with input, pose, mode, and identity management. Minor gaps exist—no explicit tool to list available modes or detailed connection statistics—but teleport_raw_command provides a workaround, so the surface is largely complete.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
Cloud-hosted MCP server for durable AI memory
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal E…
MCP server for AI dialogue using various LLM models via AceDataCloud
Related MCP Servers
FlicenseNot gradedqualityBmaintenanceRemote MCP server that gives LLMs access to run network commands63-- AlicenseAqualityCmaintenanceAn MCP server that lets AI agents launch, interact with, and inspect Textual TUI applications headlessly.124MIT
- AlicenseNot gradedqualityFmaintenanceThis MCP server gives LLM agents eyes - the ability to see and understand their physical environment through an Intel RealSense depth camera.2MIT
- AlicenseNot gradedqualityBmaintenanceA production-ready MCP server that gives an LLM agent standalone-equivalent control over a Mineflayer Minecraft bot — movement, mining, crafting, inventory, combat, containers, chat, and much more — exposed as 110 strongly-typed tools across 23 groups, with full bot lifecycle management and dual (poll + push) event streaming.952MIT
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/teleportxr/teleport-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server