EMQX Cloud MCP
OfficialClick on "Deploy 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., "@EMQX Cloud MCPlist my EMQX Cloud deployments and their current status"
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.
EMQX Cloud MCP
A local Model Context Protocol server for managing EMQX Cloud from Claude Code, Codex, and other stdio MCP clients. Your agent starts the Python process; it calls EMQX Cloud APIs directly.
Choose one independent connection:
Mode | Purpose | Required credentials |
| List projects and deployments, create Dedicated Flex deployments, start deployments | Platform API endpoint, key, and secret |
| Inspect and operate one deployment: clients, subscriptions, metrics, built-in MQTT users and ACLs, banned list, retained messages, publishing, and data integration (connectors, actions, sources, rules) | Deployment API endpoint, key, and secret |
Each mode exposes only its own tools and reads only its own API credentials. Configure the modes separately; use either or both as needed.
Install
Requires Python 3.11 or later, Git, an EMQX Cloud account, and a local Codex or Claude Code installation. The server runs on your computer and requires network access to your Cloud API endpoints; it does not require an EMQX internal network.
The Python distribution is named emqx-cloud-mcp-server. The installed command
is emqx-cloud-mcp, and the Python module is emqxcloud_mcp.
On macOS or Linux:
git clone https://github.com/emqx/emqx-cloud-mcp-server.git
cd emqx-cloud-mcp-server
python3 -m venv .venv
.venv/bin/python -m pip install .
.venv/bin/emqx-cloud-mcp --helpOn Windows (PowerShell):
git clone https://github.com/emqx/emqx-cloud-mcp-server.git
cd emqx-cloud-mcp-server
py -3 -m venv .venv
.\.venv\Scripts\python.exe -m pip install .
.\.venv\Scripts\emqx-cloud-mcp.exe --helpUse .venv\Scripts\emqx-cloud-mcp.exe as the executable in Windows client
settings. JSON paths need escaped backslashes; TOML single-quoted paths do not.
The same server can also run directly with
.venv/bin/python emqxcloud_mcp.py platform or
.venv/bin/python emqxcloud_mcp.py deployment.
Related MCP server: Axonity Flow MCP Server
Configure API access
Start in your overseas account's EMQX Cloud Console.
Create a Platform API key
under Settings → Platform API Key, choosing the required functionality and
projects. For broker operations, create a separate
Deployment API key
on the target deployment's overview page. Map its App ID to
EMQXCLOUD_DEPLOYMENT_API_KEY and App Secret to
EMQXCLOUD_DEPLOYMENT_API_SECRET; these are not MQTT username/password credentials.
Provide the selected mode's variables to the MCP process through your client's private environment configuration or a secret manager. Keep credentials out of prompts, shell history, and shared repository files.
Platform connection | Deployment connection |
|
|
|
|
|
|
Copy the API endpoint from the corresponding Console page. Platform endpoints
must end with /public_api/v1; Deployment endpoints must end with /api/v5.
All endpoints must use HTTPS and must not contain URL credentials, queries, or
fragments. The server never follows redirects or uses one API's credentials for
the other API.
.env.platform.example and .env.deployment.example show the separate groups. They are templates, not automatically loaded files. Set the variables before starting your agent or use the client's per-server environment settings.
For a local macOS/Linux setup, copy one template and restrict access:
cp .env.platform.example .env.platform
chmod 600 .env.platformEdit .env.platform locally with your endpoint, key and secret. Use shell-quoted
values when they contain special characters. Then load this trusted local file
in the same shell that launches your client:
set -a
. ./.env.platform
set +a
codex # or claudeUse .env.deployment instead for a Deployment connection. On Windows, supply
the same variables through your secret manager or private per-server settings.
Do not commit local credential files. Desktop clients launched from a dock or
Start menu may not inherit terminal variables; configure their server environment
explicitly and restart the client after changing it.
Claude Code
Register only the connection you need. Replace the executable path with the absolute path to your installed executable. These commands assume the selected API variables are available in the environment used to launch Claude Code.
Platform connection:
claude mcp add --transport stdio --scope user emqx-cloud-platform -- /absolute/path/emqx-cloud-mcp-server/.venv/bin/emqx-cloud-mcp platformDeployment connection:
claude mcp add --transport stdio --scope user emqx-cloud-deployment -- /absolute/path/emqx-cloud-mcp-server/.venv/bin/emqx-cloud-mcp deploymentFor per-server configuration, add the selected entry to your private Claude Code MCP settings. For example, a Platform entry can reference existing environment variables without embedding their values:
{
"mcpServers": {
"emqx-cloud-platform": {
"type": "stdio",
"command": "/absolute/path/emqx-cloud-mcp-server/.venv/bin/emqx-cloud-mcp",
"args": ["platform"],
"env": {
"EMQXCLOUD_PLATFORM_ENDPOINT": "${EMQXCLOUD_PLATFORM_ENDPOINT}",
"EMQXCLOUD_PLATFORM_API_KEY": "${EMQXCLOUD_PLATFORM_API_KEY}",
"EMQXCLOUD_PLATFORM_API_SECRET": "${EMQXCLOUD_PLATFORM_API_SECRET}"
}
}
}
}For a Deployment entry, use deployment in args and the three
EMQXCLOUD_DEPLOYMENT_* variables, plus any EMQXCLOUD_MQTT_PASSWORD* and
EMQXCLOUD_SECRET_* variables your write tools reference. Check the connection
with /mcp.
See Claude Code's MCP documentation.
Codex
Add the selected connection to your private ~/.codex/config.toml. Keep only the
block you need, or use both as independent connections.
Platform connection:
[mcp_servers.emqx-cloud-platform]
command = "/absolute/path/emqx-cloud-mcp-server/.venv/bin/emqx-cloud-mcp"
args = ["platform"]
env_vars = ["EMQXCLOUD_PLATFORM_ENDPOINT", "EMQXCLOUD_PLATFORM_API_KEY", "EMQXCLOUD_PLATFORM_API_SECRET"]Deployment connection:
[mcp_servers.emqx-cloud-deployment]
command = "/absolute/path/emqx-cloud-mcp-server/.venv/bin/emqx-cloud-mcp"
args = ["deployment"]
env_vars = ["EMQXCLOUD_DEPLOYMENT_ENDPOINT", "EMQXCLOUD_DEPLOYMENT_API_KEY", "EMQXCLOUD_DEPLOYMENT_API_SECRET", "EMQXCLOUD_MQTT_PASSWORD"]Add any EMQXCLOUD_SECRET_* variables referenced by data-integration configs to
env_vars as well.
env_vars forwards named variables from the environment used to launch Codex;
it does not contain their secret values. Check the connection with codex mcp list and /mcp. See the official Codex MCP documentation.
Enable writes
The default is read-only: write tools are not registered. To enable them, add
--allow-writes to the selected server's arguments:
"args": ["platform", "--allow-writes"]For Deployment writes, use ["deployment", "--allow-writes"]. In TOML, use the
same array for args. Restrict API keys to the projects, deployments and API
permissions you intend the agent to manage. Authorize paid operations with their
exact project, region and capacity before asking the agent to execute them.
Deployment connections have two further opt-ins, which can be combined:
--allow-destructiveregisters deletes, client kickout, bans and unbans, and also enables the regular write tools.--allow-integrationsregisters data-integration create and update, and delete when combined with--allow-destructive. It is separate because a rule can forward every message to an external system.
"args": ["deployment", "--allow-writes", "--allow-integrations"]Arguments | Deployment tools registered |
(none) | Read |
| Read, Write |
| Read, Write, Destructive |
| Read, Integrations |
| All |
The Platform connection ignores these two options; it has no destructive or integration tools.
Tools
Platform
Tool | Access | Behavior |
| Read | Lists visible projects |
| Read | Lists visible deployments |
| Read | Reads one deployment's actual status |
| Write | Creates a paid Dedicated Flex deployment; requires project, cloud, region, connections and TPS; defaults to |
| Write | Starts a stopped deployment; an already-running deployment is a no-op |
Creation and startup return once the API accepts the request. Keep the returned
deploymentID and call get_deployment at most once per minute until it reports
running. An accepted request does not prove readiness or MQTT connectivity.
Creation requires a configured payment method and is rate-limited by EMQX Cloud.
If a write times out, the connection is interrupted, or its result is unknown, inspect the remote resource before trying again. Writes are never automatically retried. Read requests have a 30-second overall timeout, bounded retries for transient HTTP statuses, and a 4 MiB response limit.
Deployment
Tool | Access | Behavior |
| Read | One page of built-in MQTT users, filtered by fuzzy user ID or superuser flag; follow the returned pagination metadata |
| Read | Reads a user without returning its password |
| Read | Reads the complete ACL of one username or clientid; |
| Read | One page of clients (default 20), filtered by fuzzy clientid/username, IP, state or node; |
| Read | One client's connection details and counters |
| Read | Topics one client subscribes to |
| Read | Messages queued for ( |
| Read | One client's cached authorization decisions |
| Read | One page of subscriptions, filtered by client, topic, topic filter, share group, QoS or node |
| Read | Current connection, subscription and message-rate statistics, cluster-wide or per node |
| Read | One page of banned client IDs, usernames and IP addresses |
| Read | Retained-message metadata (no payloads), filtered by exact topic or wildcard |
| Read | Connectors, actions, sources or rules with their status |
| Read | One connector, action or source ( |
| Read | Counters and rates of one action, source or rule |
| Read | Runs a rule's SQL against a sample event without executing its actions; |
| Write | Creates a user using a local password reference |
| Write | Replaces a user's password and superuser flag |
| Write | Creates or replaces one identity's complete ACL |
| Write | Publishes one message to exercise delivery or rules; an empty retained payload (which deletes the retained message) also requires |
| Write | Drops one client's authorization cache so changed ACLs apply immediately |
| Destructive | Deletes one built-in MQTT user; its ACL is kept |
| Destructive | Deletes one username's or clientid's complete ACL |
| Destructive | Disconnects one client and discards its session; it may reconnect unless banned |
| Destructive | Bans a client ID, username, IP, or their regex/CIDR variants |
| Destructive | Removes one banned-list entry; refuses EMQX Cloud's default protective entries |
| Integrations | Creates a connector, action, source or rule from its EMQX v5 JSON config |
| Integrations | Replaces the complete config of one connector, action, source or rule |
| Integrations + Destructive | Deletes one connector, action, source or rule |
When a request fails with a 4xx status, the error includes the API's redacted
code and message (at most 500 characters) so the agent can correct its
input. Other error-response content is never echoed. Values of local
EMQXCLOUD_MQTT_PASSWORD* and EMQXCLOUD_SECRET_* variables are redacted from
result strings and JSON keys. Nonempty values shorter than 8 characters are
rejected at Deployment startup. Use strong, unique secrets; the length check is
only a minimum. Redaction covers exact known values, not encoded/derived values
or arbitrary credentials already stored in remote integrations.
Authentication write tools take password_env, an environment-variable name,
not a password. Configure EMQXCLOUD_MQTT_PASSWORD in the MCP process environment
and use the default reference. For multiple passwords, use names such as
EMQXCLOUD_MQTT_PASSWORD_DEVICE_A and explicitly forward them in your client
configuration. Other environment-variable names, including API credentials,
cannot be used as password references. Passwords are never returned by tools.
The default is_superuser is false; updating a user sets this flag explicitly.
An example username ACL request is:
{
"identity_type": "username",
"identity": "device-a",
"rules": [
{"permission": "allow", "action": "publish", "topic": "devices/a/#"},
{"permission": "allow", "action": "subscribe", "topic": "commands/a/#"}
]
}Use identity_type: "clientid" for a client-ID ACL. set_authorization_rules
replaces the complete rule set for that exact identity; it does not merge
rules, and an empty list clears that identity's rules. Read existing rules and
authorize the replacement first. The write tool supports permission, action
and topic; advanced ACL fields remain visible on reads and are managed in the
Console or through the Deployment API.
Data integration
These tools require --allow-integrations. A rule such as SELECT * FROM "#"
with an external action forwards every message the deployment receives, so
enable them only for agents and API keys trusted with that data flow.
create_data_integration and update_data_integration take the EMQX v5 JSON
config of a connector, action, source or rule. Connectors, actions and
sources are identified as type:name; rules by the id returned on creation.
Create in dependency order (connector, then action or source, then rule) and
delete in the reverse order. delete_data_integration with cascade: true also
removes an action or source from the rules that reference it.
Updates replace the complete config. Read the item first and send the edited
result; server fields such as name, type and status are dropped
automatically. A masked value (******) sent back unchanged keeps the stored
secret.
Put secrets in configs as references, never as literal values:
{
"kind": "connector",
"config": {
"type": "http",
"name": "webhook",
"url": "https://hooks.example.com",
"headers": {"authorization": {"$env": "EMQXCLOUD_SECRET_WEBHOOK_TOKEN"}}
}
}The server replaces each {"$env": "EMQXCLOUD_SECRET_<NAME>"} object with that
variable from its own environment. Only EMQXCLOUD_SECRET_* names are accepted,
their values are redacted from tool results, and they must be forwarded to the
MCP process like the API credentials.
Create a deployment, then manage it
Use a Platform connection to create the deployment and query its status.
Once it is running, create a Deployment API key in the target deployment's Console page and copy its endpoint.
Configure a separate Deployment connection with that endpoint and key.
Use that connection to configure MQTT users, ACLs and data integration, and to inspect clients, subscriptions and metrics.
The Platform API does not supply Deployment API credentials. The server does not guess MQTT addresses or Deployment API endpoints. Each Deployment connection targets the endpoint configured by its operator; configuring multiple deployments requires separate connections with their own environment settings.
First checks and example prompts
After configuring a client, open /mcp and confirm the selected server is
connected. A default Platform connection exposes 3 tools; a default Deployment
connection exposes 16. Start with a harmless read:
"List the projects and deployments available through emqx-cloud-platform."
"Show the status of deployment
<deployment-id>.""Show current metrics and the first 20 connected clients."
"Read the username ACL for
device-aand explain what it permits."
After enabling the required write flag and approving the exact target:
"Create MQTT user
device-awith password referenceEMQXCLOUD_MQTT_PASSWORD_DEVICE_A; keep superuser disabled.""Read
device-a's current ACL, show the complete replacement for my approval, then apply it."
Read access can expose client details and queued message contents to your AI
client/provider. Keep host-side tool approvals enabled for changes and grant
only the API methods/resources needed. test_rule uses POST, requests no action
execution and can increment rule metrics; an API key allowing only GET cannot
use that tool. See SECURITY.md for the trust boundaries.
Troubleshooting
Symptom | Check |
Server cannot start / missing variables | Use the absolute executable path; ensure the chosen connection has all three variables in the client process. Templates are not loaded automatically. |
HTTP 401 | Check the matching API key/secret pair; Deployment uses App ID/App Secret, not MQTT credentials. |
HTTP 403 | Grant the required API path/method and project scope. Local flags do not override Cloud permissions. |
HTTP 404 or unsupported tool operation | Check the endpoint suffix and the deployment's EMQX version/API reference. Serverless exposes a smaller API surface. |
Timeout or TLS error | Check DNS, firewall/VPC access and the endpoint certificate. Keep certificate verification enabled. |
Write tools missing | Update that connection's startup flags and restart/reconnect the MCP server. |
After updating this checkout, reinstall with the installation command and restart the MCP connection. Pin a reviewed commit for repeatable installations.
Notes and limitations
Deployment creation is limited to non-trial Dedicated Flex deployments; region and capacity availability are validated by the Platform API.
Deployment tools use the documented EMQX
/api/v5Deployment API of Dedicated Flex deployments; Platform support for creatingv6is not a claim of support for every v6 API.API availability depends on deployment edition, EMQX version, region and key permissions. This server does not expose every EMQX Cloud feature; Serverless, BYOC and every customer network have not been validated by this repository's tests.
New deployments require separately configured Deployment API credentials and a network path from the local MCP process to that endpoint.
Deployment stopping and deletion, TLS, schema registry, message transformation and schema validation, user import, retained-message payload lookup, and bulk-clear operations are not exposed.
On Dedicated Flex, the EMQX Cloud API gateway rejects identities containing
/(for example a client IDsite/a) in URL paths with HTTP 400; such users, clients and ACLs must be managed in the Console. Other deployment types were not tested.--allow-writespermits credential and complete-ACL changes,--allow-integrationspermits data flows to external systems, and--allow-destructiveadds deletes, kickouts and bans. Local client tool-approval settings and the API key's scope must match the customer's intended access.Base64 publish payloads must be valid base64 without whitespace; zero-byte retained payloads require
--allow-destructiveafter decoding.
Development checks
.venv/bin/python -m unittest -v
.venv/bin/python -m py_compile emqxcloud_mcp.py test_emqxcloud_mcp.pyTests use simulated APIs and actual stdio subprocesses, including modern and legacy MCP handshakes. They do not require live Cloud credentials. Live EMQX Cloud acceptance and sessions inside Claude Code or Codex are separate checks.
License
Licensed under Apache-2.0. See NOTICE for Provider attribution.
Available Tools
3 toolsget_deploymentBRead-only
Read actual deployment status. Poll at most once per minute until running.
| Name | Required | Description | Default |
|---|---|---|---|
| deployment_id | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuine behavioral context (polling cadence, terminal condition 'until running'), but omits what other statuses exist, error behavior, or how long a poll cycle should run.
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 compact sentences, front-loaded with the action and followed by the polling constraint. No 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?
An output schema exists, so return values needn't be explained, and the polling behavior is covered. Still missing: the identifier's expected form and the set of possible status outcomes that would tell the agent when to stop polling.
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?
One required parameter, deployment_id, with 0% schema description coverage and the description never mentions it — no format, source, or where to obtain it. The description does not compensate for the schema gap as it should.
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?
States a specific verb and resource: read deployment status for a given deployment. It's clearly distinguishable from list_deployments and list_projects by virtue of operating on a single deployment. No explicit sibling differentiation, but the resource specificity carries it.
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?
"Poll at most once per minute until running" gives real operational guidance for repeated invocation, which is more than most definitions offer. However, it never states when to prefer this over list_deployments, nor what to do on failure or terminal states other than running.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_deploymentsARead-only
List deployments visible to this connection's Platform API key.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and world-scope are covered. The description adds the meaningful detail that results are scoped by the API key's visibility, which is beyond the structured fields, but nothing about pagination or result shape is mentioned.
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?
A single front-loaded sentence with no filler; every clause (verb, resource, visibility scope) earns its place.
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?
With an output schema present and no parameters, the description needn't explain return values. It adequately conveys scope, though it could say more about how listings are ordered or limited relative to the sibling tool.
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 per the baseline this is a 4. No parameter semantics are needed and none are missing.
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?
States a specific verb+resource ('List deployments') and adds scope ('visible to this connection's Platform API key'). It doesn't name the sibling get_deployment or otherwise differentiate from it, so it's clear but not sibling-aware.
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?
Usage is only implied: 'List' versus the sibling 'get_deployment' suggests enumeration rather than single-item retrieval, but no when-to-use or when-not-to-use guidance is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_projectsARead-only
List projects visible to this connection's Platform API key.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful auth context — results are constrained to what the connection's Platform API key can see — but says nothing about pagination, ordering, or result limits.
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?
One sentence, front-loaded with the action and immediately followed by the scoping constraint. Nothing extraneous and no 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?
An output schema exists, so return values need not be explained, and the tool takes no arguments. The scope qualifier covers the main ambiguity for a listing call; only pagination/ordering behavior is left unaddressed, which is minor here.
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 there is nothing for the schema or description to document; the baseline for a no-param tool is 4. The description correctly adds no redundant parameter discussion.
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?
States a specific verb+resource ('List projects') and adds a meaningful scope qualifier: visibility is limited to the connection's Platform API key. This distinguishes it from list_deployments/get_deployment by resource, though it never explicitly contrasts itself with those siblings.
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?
No when-to-use guidance, no conditions, and no mention of alternatives. The only contextual signal an agent gets is the API-key scoping clause, which implies the result set is bounded by the credential but says nothing about when this tool is the right choice.
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.
3 tool updates
v0.2.0- First observed
get_deployment - First observed
list_deployments - First observed
list_projects
TDQS
Scored across 3 tools
Each tool targets a distinct resource and action: list_projects (projects), list_deployments (deployments), and get_deployment (single deployment status). There is no overlap between them, so an agent can select correctly with confidence.
All three tools follow a clean verb_noun snake_case pattern (list_projects, list_deployments, get_deployment). The convention is uniform and predictable.
Three read-only tools is thin for a deployment-management server that implies lifecycle operations. It is borderline rather than broken, but the surface feels under-scoped for the domain.
Only read/list operations exist: there is no create, update, delete, or restart deployment, and no access to credentials, metrics, or connection details. Agents managing EMQX Cloud deployments will hit dead ends for any mutating or monitoring workflow.
Maintenance
Related MCP Connectors
Give your AI agents trusted access to the full Postman platform.
- mcp-serverOAuthcom.make
Give your AI agents the tools to build, manage, and run automation workflows.
Give AI agents secure access to RevDesk calling, SMS, phone numbers, caller IDs, and usage.
Build, validate, and deploy multi-agent AI solutions from any AI environment.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to interact with VAST Data clusters for monitoring, listing, and management operations. It provides both read-only and read-write modes for cluster and tenant administration tasks.Apache 2.0

Axonity Flow MCP Serverofficial
AlicenseAqualityAmaintenanceEnables AI agents to author and manage workflows, agents, tools, skills, policies, and reference docs in an Axonity tenant via the public REST API, with guardrails preventing direct publishing and secret exposure.10039 npmMIT- AlicenseAqualityBmaintenanceEnables AI assistants to access Saxo Bank portfolio data, account balances, positions, orders, transactions, and market data such as instruments, quotes, and charts. It is read-only by default, with trading tools available only when explicitly enabled.10MIT
- AlicenseAqualityAmaintenanceEnables AI agents to inspect and manage video renders, templates, generation models, hosted assets, and ingest sources while using isolated private account profiles. It requires explicit approval for mutation operations and supports both MCP and CLI access.2334 npmAGPL 3.0