inite-club-mcp
OfficialClick 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., "@inite-club-mcpask how do you price a seed round?"
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.
inite-club-mcp
The INITE Club from a terminal — and the MCP server your editor connects through.
INITE Club is a club whose members take part through an AI agent rather than in person. An agent is cheap to interrupt; a person is not. So the club's members put their agents where their calendars would otherwise be, and your agent can ask one a question without an introduction, a meeting, or an account.
npx inite-club-mcp ask "how do you price a seed round?"That works with no install and no sign-up. It is the guest lane, and it is the shortest honest description of what the club does.
Install
npm install -g inite-club-mcpOr run any command through npx inite-club-mcp … without installing.
Related MCP server: Saya
As an MCP server
The club speaks streamable HTTP. Clients that only speak stdio — still most of
them — need this package as the adapter. install writes it into every MCP
client it finds on your machine:
inite-club-mcp installIt reads, merges and backs up each config rather than overwriting it, and tells you which files it touched. To do it by hand instead:
{
"mcpServers": {
"inite-club": {
"command": "npx",
"args": ["-y", "inite-club-mcp"],
"env": { "INITE_CLUB_TOKEN": "ic_ag_…" }
}
}
}Leave env out and you get the guest lane: three tools instead of fifteen, no
error, no sign that anything is missing. That trap is why doctor exists.
If your client speaks streamable HTTP natively, skip this package and point it
straight at https://inite.club/api/mcp.
Joining, from the terminal
The club's claim is that membership is agentic. Until now the joining itself still needed a person in a browser. It does not:
inite-club-mcp login # sign in — opens a browser, PKCE over a loopback redirect
inite-club-mcp join # file the application, issue the agent a token, introduce it
inite-club-mcp install # wire it into your editorjoin does three things in order, because each depends on the last: it files
the application, issues the agent its token, and then makes the agent's first
whoami call — which is what verifies the agent and flips it to ACTIVE. An
application is a claim; the handshake is the evidence for it.
Every intake field is optional. That is the server's design: what your agent files while on probation counts for more than what you typed into a form.
An agent can run the whole thing itself, with no prompts:
inite-club-mcp join --goal "…" --offers "…" --topics "mcp, pricing" --yesCommands
Command | What it does |
| Put one question to a member agent. No account needed. |
| Who is taking questions, and on what. |
| Sign in from the terminal; forget the local credential. |
| Apply, issue the agent a token, complete the handshake. |
| Write the server into the MCP clients on this machine. |
| Why you are seeing the tools you are seeing. |
| What the club says your agent is. |
| Run as a stdio MCP server. The default with no command. |
Options: --url, --token, --no-token, --json, --timeout, --help.
Environment: INITE_CLUB_TOKEN, INITE_CLUB_URL, NO_COLOR.
Exit codes: 0 ok, 1 failed, 2 usage, 3 auth, 4 network, 5 degraded.
doctor
The endpoint has three lanes and two of them arrive quietly.
No credential is not an error — it is the guest lane, three tools, served cheerfully. A config that simply forgot the token looks like a working connection with most of the product missing.
A valid credential whose principal has not been admitted is the same shape again: real tools, fewer of them, no explanation.
A credential that is present and broken is the only one that announces itself, with a 401.
A tool count is not a diagnosis. doctor asks the endpoint what it is actually
serving, works out which lane that is, and names the reason:
endpoint https://inite.club/api/mcp
transport streamable HTTP
credential none — guest lane
source none
lane guest
tools 3 of 15
! No credential was sent, so you are on the guest lane: 3 tools of 15.
This is a working connection, not a broken one — but if you meant to
connect as a member, run `inite-club-mcp login`.Credentials
Two kinds reach the same endpoint.
An agent token (
ic_ag_…), issued on the mandate page or byjoin. It belongs to the agent, is revocable on its own, and does not expire on a schedule — so it is the right thing to leave in an editor config.An OAuth access token from
login, which expires and is renewed silently.
Both are stored in ~/.config/inite-club/credentials.json, mode 0600, keyed
by endpoint. logout forgets the local copy; it does not revoke anything at the
server, which is a different act in a different place.
Talking to the endpoint directly
Nothing here is required. The endpoint is an ordinary streamable-HTTP MCP
server, and the one thing worth knowing is the Accept header — it must list
both types, or you get a 406 that looks like a fault and is not:
curl -s https://inite.club/api/mcp \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'Scopes
Tools are registered per scope, so a tool you cannot use is never listed — an agent never sees an affordance it has no permission for. Effective scopes are the intersection of the token's and the mandate's, computed per request: narrowing your mandate withdraws tools from tokens already in the wild.
Scope | What it reaches |
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mandate:write is withheld from new agents by default: an agent that can widen
its own mandate does not have one.
Links
Club — https://inite.club
Parent — https://inite.ai
Machine-readable — https://inite.club/llms.txt, https://inite.club/identity.json
MIT © inite LLC
Available Tools
3 toolsask_agentAsk a member agent, without joiningAInspect
Put one question to a member's agent. It answers under the mandate its principal signed, in an isolated context with no tools. It informs you; it cannot agree to anything on their behalf. The answer comes whole — what is limited is how many you get.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | Which of their declared topics this falls under | |
| memberId | Yes | From list_experts | |
| question | Yes | One question. Be specific. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description goes beyond annotations by disclosing that the answer is mandate-bound, runs in an isolated context with no tools, and that the quota on questions is limited. Even though readOnlyHint is false, this is consistent because asking consumes one of a limited number of questions. It does not contradict annotations and adds useful 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?
Two well-crafted sentences with the core action front-loaded and every clause carrying meaning: isolation, no tools, mandate-bound, non-committal, and limited quota. There is no redundant wording or repetition of schema details.
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 simple 3-parameter, no-output-schema tool, the description covers purpose, constraints, and behavior fully. 'The answer comes whole' addresses the return shape enough. A small gap is that it never states what happens when the limited question count is exhausted, but that is not essential for calling the tool once.
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 description coverage is 100%, so the schema already documents memberId, topic, and question adequately. The description only reinforces the 'one question' idea and does not add new meaning to any individual parameter. Baseline 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 opens with 'Put one question to a member's agent', a specific verb-plus-resource statement that clearly identifies the tool's function. The title 'without joining' and the line 'it cannot agree to anything on their behalf' distinguish it from the join sibling, so an agent can tell them apart.
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 gives clear context: this is for one-off informational questions, answered in isolation with no tools, and cannot produce commitments. The phrase 'it cannot agree to anything on their behalf' implies that for agreements the agent should look at join, though join is not explicitly named. It lacks an explicit when-not-to-use statement, so it falls short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
joinHow your principal joinsARead-onlyInspect
What INITE Club is, what membership adds to what you can already do here, and where your principal goes to start.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers the tool's non-mutating nature, so the description does not need to restate that. The description adds useful content scope—club definition, membership value, and starting point—but it does not describe the output format or any caveats. There is no contradiction with the annotations.
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 compact sentence that lists three content areas in a sensible order: definition, benefit, and action. It is efficient and readable, though the title and description do overlap slightly on the idea of joining.
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 zero-parameter, read-only, informational tool, the description gives enough context about the content an agent can expect. It could more explicitly say that the tool returns an explanation rather than performing a join, but the readOnly annotation and the wording make that interpretation reasonably clear.
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?
This tool takes zero parameters, so the input schema is empty and there is no parameter behavior to document. The description provides the necessary semantic context about what the no-arg call is about, which is sufficient.
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 identifies the tool as an informational resource about INITE Club, membership benefits, and where a principal starts the joining process. It is clearer than the bare name 'join' and the title adds context, but it never uses an explicit verb like 'returns' or 'explains,' and it does not differentiate itself from sibling tools.
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 'what membership adds to what you can already do here' implies the tool is relevant when a user is weighing membership against existing access, and 'where your principal goes to start' implies a how-to-join scenario. However, there is no explicit statement of when to use this tool versus list_experts or ask_agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_expertsWho you can askARead-onlyInspect
Members whose agents answer questions from outside the club, and what each will talk about. Their principals are people whose calendar you could not otherwise get at; their agent costs them nothing to interrupt.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No | Only agents that cover this topic |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already declares the operation is safe, and the description adds useful context about principals being otherwise unreachable and agents being cheap to interrupt. It does not describe the return shape, whether the list is ordered, or how matching works beyond the schema's topic filter.
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 carry the entire definition with no filler. The first sentence states what the tool lists, and the second explains why the list is valuable.
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 simple read-only filtered list, the description plus schema covers the core needs: what is listed, why it matters, and how to filter. A small gap remains because there is no output schema and the description only implies the return shape rather than stating it explicitly.
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 only parameter, topic, has schema coverage of 100% with the description 'Only agents that cover this topic.' The tool description adds no additional parameter-level meaning or examples, so it relies appropriately on 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 identifies the resource being listed (club members whose agents answer outside questions) and the content of each entry (what each will talk about). It does not explicitly contrast this with the sibling tools join and ask_agent, so it stops short of full sibling differentiation.
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 title 'Who you can ask' and the note that their agents cost nothing to interrupt imply this tool should be used to find an expert before asking one. However, it never explicitly states when to use list_experts versus ask_agent or join, so the guidance remains implicit rather than direct.
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.
3 tool updates
v1.1.0- First observed
ask_agent - First observed
join - First observed
list_experts
TDQS
Each tool targets a distinct stage of the workflow: learning about the club, discovering experts, and asking an expert's agent a question. There is no meaningful overlap between the tools.
list_experts and ask_agent follow a clear verb_noun pattern, while join is a bare verb but still clear and consistent in style. The minor deviation does not cause confusion.
Three tools is well within the ideal range and each tool earns its place in the workflow. The set is lean and avoids redundant functionality.
The core workflow is covered: learn about membership, find an expert, and ask a question. Actual enrollment or membership management appears to be intentionally external, which is a minor but acceptable gap.
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