comind-mcp
OfficialComindMCP is an MCP gateway for curating upstream tools into agent-scoped virtual MCP servers, with read-only tools for deployment/config/examples.
Import sources: proxy MCP servers, convert OpenAPI 3.x specs into tools, or wire HTTP endpoints.
Curate tools: rename, hide, edit descriptions, and create native, composite, virtual, or sandboxed Python tools.
Build composite intent tools: multi-step calls, conditional
when, templating ($.input.*,$.steps.ID.*), output templates, and traces.Create groups (virtual MCP servers) exposed at
/g/:groupId/mcpwith a curated toolset.Create agents with Bearer API keys bound to groups; agents see only granted tools plus optional self-cron tools.
Enable self-cron: agents use
schedule_task,list_schedules, andcancel_schedule, toggleable per workspace.Manage encrypted secrets (AES-256-GCM,
${secret.NAME}) with static/dynamic OAuth and MCP-native OAuth flows.Organize resources in a team/project tree with sharing, moving, and per-account isolation; COO agents administer subtrees via
project_*tools.Observe and optimize: call logs, metrics, inspector/test-invoke, auto-compaction, and
_fields/_limitprojection.Query schema tools:
comind.aboutoverview,comind.self_hostDocker/run modes,comind.configenv reference,comind.openapi_example, andcomind.mcp_proxy_exampleconnection commands.Deploy with external Postgres, embedded PGlite file, or in-memory; use the OCI image for self-hosting.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@comind-mcpshow my groups"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
comind-mcp
Repository: https://github.com/comind-pro/comind-mcp
MCP gateway — connects various MCP servers and REST APIs, lets you curate and combine tools, organize them into groups (each = a separate virtual MCP server with a single endpoint) and hand them out to agents. An agent sees only the narrow set of tools assigned to it and can schedule its own crons through MCP.
Self-hosted: a single Node service + Postgres. Multi-user with per-account isolation.
Source (mcp │ openapi │ http) ──import──▶ Tool (native │ composite, curated)
│
Group = virtual MCP ◀──toolset[]──────────────┘ + built-in self-cron tools
└─▶ /g/:groupId/mcp (Streamable HTTP, single endpoint)
└─▶ Agent (Bearer key) — only granted V-MCPs, schedules itself
Vault (${secret.X}) · Scheduler · CallLog / MetricsQuick start
Prerequisites: Node 20+, pnpm 9 (corepack enable), Docker (local Postgres).
make setup # install deps, start Postgres, apply migrations
make dev # Postgres + server :8787 + web :5173Web UI — http://localhost:5173 (register an account, then sign in)
Gateway + Control API — http://localhost:8787 (
GET /healthz)Postgres — runs in Docker (
docker compose); repo.envmaps host port5434
See make help for all targets. Underlying pnpm scripts (pnpm dev, pnpm dev:server, pnpm dev:web) still work but don't manage the Postgres container.
Database modes
The store is selected by the DATABASE_URL scheme — same schema, same migrations:
| Mode | Use for |
| External Postgres | Production, multi-instance (horizontal scale). |
| Embedded Postgres (PGlite) | Zero-infra self-host, single container, demos, Glama. |
| Embedded, in-memory | Throwaway / CI smoke. |
PGlite is Postgres (WASM), so everything (jsonb, percentile_cont, migrations) runs unchanged — no external DB process. Persistence: the file: directory is a real Postgres data dir; mount it as a volume (e.g. /data) to keep data across releases. Migrations are additive and idempotent, so an upgrade never wipes existing data. Embedded mode is single-node (no multi-instance — one writer).
# zero-infra: no Docker/Postgres needed
DATABASE_URL=file:/data/comind SERVER_ENV=dev pnpm --filter comind-server startRelated MCP server: Figma MCP Server
End-to-end scenario
Sources → add a source (MCP proxy, OpenAPI, or HTTP) → Test → Import tools.
Tools → rename / hide the unnecessary / assemble a composite (an intent tool from several calls).
Groups → create a group → mark the toolset (checkboxes) → (optional) add a schedule.
Agents → create an agent in the group → get an API key (once) + MCP endpoint.
Connect any MCP client to
http://localhost:8787/g/<groupId>/mcpwithAuthorization: Bearer <key>. The client sees only the group's toolset (+ self-cron tools).Logs → calls, metrics, errors.
Concepts
Term | What it is |
Source | Upstream: another MCP server (proxy), a REST API (OpenAPI 3.x → tools), or an HTTP service with explicit endpoints |
Tool | A single call. |
Composite | Deterministically runs several calls and assembles a single result (output template, |
Python tool | A body of Python run in a WASM sandbox — no network, no filesystem. Reaches other tools via |
Group | A virtual MCP server: a curated set of tools, exposed as a single endpoint |
Agent | A consumer bound to a group via an API key. Sees only the group's toolset |
Self-cron | MCP tools |
Secret | An encrypted credential (AES-256-GCM) or an env reference. Substituted at runtime via |
Project / Team | Nodes of a per-account tree. Every resource lives in one node; a node sees its own subtree plus what was shared with it ( |
COO / Lead agents | An agent's |
API (Control Plane, REST on :8787)
GET /healthz
# sources
POST/GET /sources GET/PATCH/DELETE /sources/:id
POST /sources/:id/test POST /sources/:id/import
# tools
GET /tools (?sourceId&kind&visible) GET/PATCH/DELETE /tools/:id
PATCH /tools/:id {outputFields:string[]|null, outputLimit:int>0|null} (owner projection defaults)
# composites
POST/GET /composite-tools GET/DELETE /composite-tools/:id POST /composite-tools/:id/run
# python tools (gated — see "Python tools")
POST /python-tools GET/PATCH/DELETE /python-tools/:id
POST /python-tools/test POST /python-tools/:id/run
GET /features
# groups
POST/GET /groups GET/PATCH/DELETE /groups/:id (body: ..., compactResults?: bool, default true)
GET/PUT /groups/:id/tools
# projects (tree + sharing) — every route above accepts ?project=<nodeId>
GET /projects POST /projects {kind:'team'|'project', name, parentId}
GET /projects/:id/summary
DELETE /projects/:id (409 default_node for the default team/project)
GET/POST /projects/:id/access {resourceType:'source'|'tool'|'secret', resourceId}
DELETE /projects/:id/access/:type/:resourceId
POST /projects/:id/move {resourceType:'source'|'tool'|'secret'|'group'|'agent', resourceId}
(a source carries its tools and secrets; 409 native_tool — move the source;
a moved workspace drops tools it can no longer use → {unlinked})
# agents
POST/GET /agents GET/DELETE /agents/:id POST /agents/:id/rotate-key
PATCH /agents/:id {role:'lead'|'coo'}
# schedules
POST/GET /groups/:id/schedules DELETE /schedules/:id
POST /schedules/:id/run GET /schedules/:id/runs
# secrets (metadata only; value/ciphertext is NEVER returned)
POST/GET /secrets DELETE /secrets/:id
# observability
GET /logs (?groupId&agentId&toolName&status&limit) GET /metrics (totals/byTool carry saved_bytes)
GET /agents/:id/inspect POST /agents/:id/invokeGateway (for agents, MCP)
POST /a/mcp — agent-wide endpoint: union of tools across the agent's groups
POST /g/:groupId/mcp — Streamable HTTP endpoint (Authorization: Bearer <agent-key>)SSE transport — planned.
Connect from Claude / ChatGPT (web): step-by-step guide with screenshots — docs/connect.md.
COO agents
To make a COO agent: create an agent in a project (POST /agents?project=<id>), then set its role to coo (via the Agents tab in the web UI, or PATCH /agents/:id {role:'coo'}), and connect it to /a/mcp with its API key. A COO sees the project_* admin tools on the MCP endpoint for its project's subtree and can manage all resources within it.
tool | what it does |
| nodes in the COO's subtree |
| new team/project under a node of the subtree |
| delete a descendant node; without |
| share a source/tool/secret the COO can see with a descendant project |
| revoke a grant; without |
| visible connections (never the config) |
| cached objects (GA properties, tables, mailboxes) + tools with schemas |
| new connection; config may reference |
| health check |
| import/refresh tools; |
| declare a secret by name → shows as pending in Secrets until you set its value |
| virtual / composite / python tool in staging (in no workspace yet) |
| run a tool with arguments |
| add a tool to a workspace |
| new workspace (virtual MCP server) with an optional tool set |
| replace a workspace's tool set |
| new Lead (or COO) agent + key; the key is returned once |
| archive an agent's keys; preview without |
Isolation: a COO acts as its own project node — every id it passes is resolved inside its subtree, invisible ids read as not_found. It cannot change its own role, delete its own node or an ancestor, or revoke itself. Secret values never pass through a COO: it declares names, you fill them in Secrets.
Agents: a COO provisions COOs only into descendant nodes (never a peer at its own node), and revokes agents in descendant nodes or ones it provisioned itself. Revoking an agent archives its keys and ends its OAuth sessions. Custom tool names starting with project. are reserved.
Trust boundary: A COO never receives secret values through the API or audit, but any tool it creates (an HTTP connection or a virtual tool) can reference ${secret.NAME} for every secret its node may use and send the request to any host. Treat a COO as trusted with the secrets you share with its project; share only what it needs. Per-secret allowed hosts are a planned follow-up.
Projects tab
A tree of teams and projects for the account, with per-node counts of connections, tools, secrets, and workspaces. Each node's Allowlist lists what has been shared into it; "Share a resource" offers any connection, tool or secret from outside the node's own subtree. The node card lists the COO agents that administer it; the role itself is set on the Agents tab. Revoking a grant warns which workspaces would lose tools before unlinking them. "Move here" re-homes a connection, tool, secret, workspace or agent into the node (native tools move with their connection). The tree card creates a team or project under any parent; each node offers "Delete node" (hidden for the default team and project). A project selector in the header filters all tabs and resource rows; each row shows the node it belongs to, whether it was shared from elsewhere, and which agent created it (resources only).
Pending secrets declared by a COO agent appear in the Secrets tab with a pending badge and a password field to set the value — once set, the secret is encrypted at rest and the pending badge disappears.
Python tools
A tool whose body is Python. Useful where the composite engine runs out of road: loops, arithmetic, parsing, folding many calls into one table.
rows = []
for tok in args["tokens"]:
book = await call("market.get_order_book", {"token_id": tok}) # any tool you own
if book["is_error"]:
continue
rows.append(book["structured"])
output = {"count": len(rows), "rows": rows}In scope:
args(the tool's input),await call(name, args)→{"text", "structured", "is_error"}, andstepswhen the code is a step inside a composite ({"id": "x", "python": "..."}).The result is whatever you assign to
output. If the script definesmain,main(args)is called instead (sync or async). Neither one → an explicit error, never a silent empty result.A top-level
returnis a PythonSyntaxErrorand kills the whole script — assign tooutput, or wrap the logic indef main(args).print()is captured and shown in the tool editor.
Sandbox. Pyodide (CPython → WASM) in a worker thread: no network, no filesystem, no process.
Node's network modules are blocked in the worker before Pyodide loads, so Python sockets fail too —
the only way out of a script is call(...), which goes through the normal tool runtime (auth, SSRF
guard, call log). A runaway script is killed by terminating the worker.
Cost. One worker per nesting level, booted lazily and kept warm: first run after start ≈ 1s, subsequent runs ≈ 10ms. Runs at the same level are serialised, so a long script delays other python tools (native/virtual tools are unaffected). A python tool calling a python tool calling a python tool is the limit — deeper nesting is refused.
Off by default. Either set PYTHON_TOOLS=1 (opens the feature to every account on the
instance — local dev / single-user self-host), or grant it per user:
INSERT INTO user_features (id, user_id, feature, enabled)
VALUES (gen_random_uuid()::text, '<user-id>', 'python_tools', true);Revoking the row stops existing tools too — the ACL is re-checked on every call, not just at
authoring time. Tuning: PYTHON_TOOL_TIMEOUT_MS (30000), PYTHON_TOOL_MAX_CALLS (100),
PYTHON_TOOL_MAX_CODE_BYTES (65536).
Compact results
Tool results cost the agent's context, so the gateway shrinks them before they leave. Level 1 applies only to agent calls; owner projection applies to every top-level call. Composites and Python tools calling other tools always get the raw result. Errors are never touched.
Level 1, auto-compaction (results of 2 KiB or more, per-workspace toggle, default on). JSON becomes
flat key: value lines (nulls and empty strings dropped, numbers kept exact, base64 payloads replaced
by a placeholder), and arrays of 3+ similar objects become a | table. HTML becomes text (scripts, styles
and tags removed, links as text (url)). Logs collapse repeated lines to line (×N). It is skipped
when the output would not be smaller. If the flat text is still 8 KiB or more, a hint line suggests
_fields / _limit.
Level 2, projection (always on). Every tool in tools/list accepts two extra optional arguments,
stripped before the upstream sees them: _fields (dot paths, arrays traversed implicitly) and _limit
(max items per array):
{ "query": "open bugs", "_fields": ["items.title", "items.url"], "_limit": 5 }If no path matches, the original result comes back with a note, so a typo never blanks it.
Owner defaults. Set outputFields / outputLimit on a tool (PATCH /tools/:id, or the Tools tab)
to project every call by default; the agent's _fields / _limit can only narrow that further.
The per-workspace switch is compactResults on POST/PATCH /groups (Workspaces tab). Projection stays on.
Savings show in Activity: a saved total, a saved column per tool, and in/out KB per log row
(GET /metrics: saved_bytes).
Trade-off. Level 1 returns flat text, not JSON, in the text block. A programmatic consumer that
parses that block should read structuredContent instead or turn the workspace toggle off. For tools
with an outputSchema, structuredContent is always the raw upstream value (MCP clients validate it);
for others it stays JSON, cleaned and projected, and is dropped when still large.
Structure
Path | Purpose |
| Node service (Fastify + MCP SDK + Drizzle/Postgres) — control API + gateway |
| MCP proxy · OpenAPI→tools · HTTP connectors |
| Composite engine (intent tools) |
|
|
| Group's virtual MCP server + agent auth |
| node-cron registry + JobRun + self-cron |
| Vault (AES-256-GCM) + |
| REST endpoints |
| Drizzle schema + pg client (Postgres) |
| Web UI (Vite + React) — Sources / Tools / V-MCP / Agents / Secrets / Logs |
Development details — DEVELOPMENT.md.
Security
Secrets are encrypted at-rest (AES-256-GCM); the agent/config see only the
${secret.NAME}placeholder, the value is substituted at runtime.An agent gets only its group's toolset; calls are gated by toolset on every request.
API keys are stored as an sha256 hash, the token is shown once.
A failure of one upstream does not bring down the endpoint (fault isolation in the runtime).
Modules & features
Built iteratively, module by module. Everything below is implemented and working.
Core gateway
✅ Connectors — proxy an existing MCP server, import a REST API from OpenAPI 3.x (own parser → tools), or wire an HTTP service with explicit endpoints.
✅ Tool registry & curation — import tools, rename, edit descriptions, toggle visibility, per-owner unique names.
✅ Composite engine — intent tools that run several calls in sequence; conditional
when; templating ($.input.*,$.steps.ID.text); output template; per-step trace for tuning.✅ Shared runtime (
invokeTool) — one dispatcher for gateway, composites and scheduler; native→connector, composite→recursion (depth-limited); fault isolation (a bad upstream never crashes the caller).✅ Groups = virtual MCP — bundle curated tools into a single MCP endpoint
/g/:groupId/mcp(Streamable HTTP).✅ Agents — consumer identities with one API key (sha256-hashed, shown once) + key rotation.
✅ Agent ↔ V-MCP grants (M2M) — grant/revoke access per group; one agent can reach many group endpoints; the key only works for granted groups.
Scheduling
✅ Scheduler — cron registry (node-cron), JobRun log, run-now, loaded on boot.
✅ Self-cron over MCP — built-in
schedule_task/list_schedules/cancel_scheduletools inside a group; a connected agent schedules itself.
Secrets & auth-to-upstreams
✅ Vault — credentials encrypted at rest (AES-256-GCM); injected at runtime via
${secret.NAME}; agents/config never see the value.✅ Source-scoped secrets — same name can exist per source; scoped overrides global.
✅ Static auth — bearer/api-key/custom headers, basic (username/password).
✅ Dynamic token flows —
oauth2_client_credentials,token_request(login→JSON-path),oauth2_refresh(cached + auto-refresh).✅ User OAuth —
oauth2_authorization_code(Connect flow) and MCP-native OAuth (mcp_oauth: SDK discovery + DCR + PKCE + refresh, with optional pre-registeredclientId).
Accounts & isolation
✅ Auth — email/password (scrypt) + HS256 session JWTs; register / login / me.
✅ Multi-user isolation — every resource is owned by a user; all routes scoped by owner; tools resolve only within the owner's namespace. No cross-account access.
Observability
✅ Call logs — who/which tool/status/duration/token estimate per invocation.
✅ Metrics — totals + by-tool + by-agent.
✅ Inspector & test-invoke — see what an agent sees per granted V-MCP; run any tool to view the raw response.
Web UI (Vite + React)
✅ Auth — login / register, token gating, logout.
✅ Form ⟷ JSON builders for sources and composites (edit a form or the raw JSON, two-way).
✅ Inline secrets in the source wizard (scoped to the source).
✅ Grouped, collapsible, searchable tool picker & registry (scales to large imported APIs).
✅ Connect snippets per V-MCP (
claude mcp add …, curl) with copy buttons.✅ Tabs: Sources · Tools · V-MCP · Agents · Secrets · Logs.
Infrastructure
✅ Postgres via Drizzle (migrations auto-applied on boot).
✅ Docker Compose for local Postgres + Makefile (
make setup/make dev/make db-*).✅
.envloading, generated dev secrets.
Not yet (optional next)
⬜ Org / project layer (teams, sharing).
⬜ SSE transport on the gateway (Streamable HTTP only today).
⬜ Hot-reload
tools/changednotifications.⬜ OpenAPI endpoint for a toolset; traces.
Roadmap
Rate-limit
/auth(password brute-force), the gateway, and per-agent quotas.Make the scheduler multi-replica safe (Postgres advisory lock or a dedicated worker) — today in-memory cron fires N times with N instances.
Move migrations to a separate deploy step (they run on every instance boot → race with multiple replicas).
JWT revocation — short-lived access + refresh tokens (a leaked 7-day token can't be invalidated; logout is local-only).
Secret management — KMS + rotation for
VAULT_KEY/JWT_SECRET; tighten CORS (defaults to*); document the TLS reverse proxy.Serve the web UI for production (build & serve
distbehind a CDN/proxy; Vite dev only today).Pagination on list endpoints (tools, logs).
Scheduler retry / backoff / alerting.
OpenAPI parser — handle complex specs (
allOf, deep$ref).Password reset / email verification; user audit log.
Distribution
Packaged as an OCI image (ghcr.io/comind-pro/comind-mcp) and listed in the
official MCP Registry (registry.modelcontextprotocol.io) — the canonical
source that downstream catalogs (PulseMCP, Smithery, Docker Hub, …) consume. The
metadata lives in server.json under the GitHub-verified
namespace io.github.comind-pro/comind-mcp.
Run the image (zero-infra, embedded Postgres):
docker run -p 8787:8787 -v comind-data:/data \
-e SERVER_ENV=dev ghcr.io/comind-pro/comind-mcp:latest
# prod: drop SERVER_ENV=dev and set VAULT_KEY + JWT_SECRETReleasing is automated — push a version tag and CI (release.yml)
builds & pushes the image to GHCR, then publishes server.json to the registry
via GitHub OIDC (no tokens):
git tag v0.2.0 && git push origin v0.2.0Note: ComindMCP is a multi-tenant gateway (HTTP MCP at
/g/:slug/mcp, agent-key auth), not a single stdio server — registry clients self-deploy it and connect their own agents.
Contributing
comind-mcp is open source (MIT) and contributions are welcome — bug reports, features, docs, tests.
Fork & branch from
main(feat/...,fix/...).Set up locally — see DEVELOPMENT.md. TL;DR:
corepack enable && pnpm install, thenpnpm dev.Before opening a PR:
pnpm typecheckandpnpm -r testmust pass.Use Conventional Commits for messages (
feat:,fix:,docs:,chore:).Open a PR against
comind-pro/comind-mcpwith a clear description; link any related issue.
Questions or ideas? Open an issue. See CONTRIBUTING.md for details.
License
MIT © comind — open source, free to use, modify, and distribute anywhere, including commercially.
Repository: https://github.com/comind-pro/comind-mcp
Available Tools
5 toolscomind.aboutAbout ComindMCPARead-onlyIdempotent
Returns a structured overview of ComindMCP: its name, version, what it does, the repository, and the gateway endpoint shape. Takes no arguments. Call this first to learn what this server is and how agents consume it before using the other comind.* tools.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| name | Yes | |
| note | No | |
| what | Yes | One-paragraph explanation of the gateway. |
| version | Yes | |
| repository | No | |
| gateway_endpoint | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, idempotentHint, destructiveHint. The description adds context about what is returned (structured overview) and that it takes no arguments, but does not disclose additional behavioral traits beyond what annotations imply. It contradicts nothing.
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, efficient and front-loaded with purpose and usage. Every sentence adds value; no 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 no parameters, output schema present (indicated but not shown), and rich annotations, the description fully addresses what agents need: content, safety, and ordering.
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?
No parameters; the description correctly notes 'Takes no arguments.' With 0 parameters, baseline is 4, and the description adds no extra meaning but is accurate.
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 it returns a structured overview of ComindMCP, listing specific content (name, version, etc.) and distinguishes it from siblings by noting it's the introductory tool.
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?
Explicitly says 'Call this first to learn what this server is... before using the other comind.* tools,' providing clear guidance on when to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
comind.configDeployment config referenceARead-onlyIdempotent
Returns the full environment-variable reference for deploying the gateway — each variable with its requirement, default, secret flag and purpose. Takes no arguments. Use this to assemble the env for a production deployment.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| env | No | |
| image | No | |
| repository | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark it as read-only, idempotent, non-destructive. The description adds value by detailing the content (each variable with requirement, default, secret flag, purpose), which goes beyond the annotations. No contradictions.
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: first states what it returns, second states its usage. Every sentence adds value, no wasted words, and the main purpose is front-loaded.
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 zero parameters, an output schema, and a straightforward purpose, the description fully covers what the tool does and when to use it. It mentions the specific fields in the returned reference, so it is 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?
There are zero parameters, so schema coverage is 100%. The description explicitly says 'Takes no arguments,' confirming this. No additional parameter information is needed, earning a baseline 4.
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 that the tool returns the full environment-variable reference for deploying the gateway, including specifics about each variable (requirement, default, secret flag, purpose). This distinguishes it from siblings like comind.about or comind.self_host.
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 explicitly advises when to use it: 'Use this to assemble the env for a production deployment.' It does not mention when not to use it or alternatives, but given zero parameters and clear purpose, this is adequate guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
comind.mcp_proxy_exampleExample — connect a V-MCP endpointARead-onlyIdempotent
Returns ready-to-use commands for connecting a running gateway group endpoint from an MCP client: the HTTP endpoint + Bearer header, a claude mcp add line, an mcp-proxy stdio bridge, and a raw JSON-RPC curl. Takes no arguments. Use this once you have a deployed gateway, a group id and an agent key.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| note | No | |
| clients | No | Per-client connection commands. |
| summary | No | |
| endpoint | No | |
| auth_header | No | |
| agent_wide_endpoint | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds beyond this by detailing the constructed commands (HTTP, bearer, etc.) and confirms the tool is safe (no side effects). No contradiction with 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?
Two short sentences: the first lists the output, the second states prerequisites. No wasted words, front-loaded with 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 no parameters and an existing output schema, the description covers what the tool returns and when to use it. It does not repeat output schema details, which is appropriate. Completeness is high for this simple 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 no parameters (empty input schema), and schema coverage is 100%. The description correctly notes 'Takes no arguments', which aligns with the schema. No further parameter semantics needed.
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 what the tool returns: ready-to-use commands (HTTP endpoint, Bearer header, claude mcp add line, mcp-proxy bridge, raw JSON-RPC curl). This clearly distinguishes it from sibling tools like 'about', 'config', 'openapi_example', and 'self_host', which serve different purposes.
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 says 'Use this once you have a deployed gateway, a group id and an agent key', providing clear prerequisites and context. It does not explicitly mention when not to use it or alternatives, but given the narrow scope, this guidance is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
comind.openapi_exampleExample — OpenAPI → MCP toolsARead-onlyIdempotent
Returns a worked, copy-paste example of turning an OpenAPI 3.x API into curated MCP tools through the gateway: the ordered steps, the POST /sources body (spec URL or inline spec + baseUrl + secret-templated headers), and the resulting tool name. Takes no arguments.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| note | No | |
| steps | No | |
| result | No | |
| summary | No | |
| create_source | No | POST /sources request body. |
| inline_spec_alternative | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds behavioral context beyond annotations by detailing what the example includes (ordered steps, POST body details, tool name), consistent with a safe read operation.
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, efficient sentence that front-loads the key result. It is concise but could be slightly more structured with bullet points; however, it earns its place with no 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 zero-parameter tool with an output schema, the description fully covers what the tool returns and the context (OpenAPI to MCP conversion example). No gaps remain.
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?
With zero parameters and 100% schema description coverage, the description adds no parameter info, which is appropriate. Baseline score for 0 parameters is 4.
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 returns a worked, copy-paste example of converting OpenAPI 3.x APIs into MCP tools, specifying included components (ordered steps, POST body, tool name). It distinguishes itself from siblings like 'comind.config' and 'comind.self_host' by focusing on example generation.
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 for obtaining an example but does not explicitly state when to use this tool versus alternatives, nor does it provide when-not-to-use guidance. The purpose is clear, but explicit usage context is missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
comind.self_hostSelf-host the gatewayARead-onlyIdempotent
Returns the copy-paste Docker command to run your own ComindMCP gateway plus the available run modes (embedded Postgres via PGlite, external Postgres, or in-memory). Takes no arguments. Call this when you want to deploy or evaluate the full gateway.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| run_modes | No | |
| docker_run | No | Ready-to-run command for a zero-infra instance. |
| repository | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds value by mentioning the returned Docker command and run modes, but does not disclose additional behavioral traits beyond what annotations indicate, which is acceptable.
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, front-loaded with the core action ('Returns the copy-paste Docker command'), and the second sentence provides usage context. Every sentence is necessary and concise.
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 tool with an output schema, the description adequately covers what the tool returns and when to use it. No additional information is needed given the tool's simplicity.
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 no parameters, and the schema coverage is 100%. The description mentions 'Takes no arguments', which is consistent but does not add meaning beyond the schema. Baseline score 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 that the tool returns a Docker command for self-hosting the gateway, with specific mention of available run modes. It distinguishes itself from sibling tools like comind.about (info) and comind.config (configuration) by focusing on deployment.
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 explicitly says 'Call this when you want to deploy or evaluate the full gateway', providing clear context for when to use. However, it does not explicitly state when not to use, though the sibling tools cover other use cases.
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.
5 tool updates
v1.0.1- Changed
comind.about2 fields changed- added
Input schema / additionalPropertiesAdded value: +false - changed
Output schema / (root)Previous value: -nullNew value: +{ + "properties": { + "gateway_endpoint": { + "type": "string" + }, + "name": { + "type": "string" + }, + "note": { + "type": "string" + }, + "repository": { + "format": "uri", + "type": "string" + }, + "version": { + "type": "string" + }, + "what": { + "description": "One-paragraph explanation of the gateway.", + "type": "string" + } + }, + "required": [ + "name", + "version", + "what" + ], + "type": "object" +}
- Changed
comind.config2 fields changed- added
Input schema / additionalPropertiesAdded value: +false - changed
Output schema / (root)Previous value: -nullNew value: +{ + "properties": { + "env": { + "items": { + "properties": { + "default": { + "type": "string" + }, + "desc": { + "type": "string" + }, + "name": { + "type": "string" + }, + "required": { + "type": "boolean" + }, + "secret": { + "type": "boolean" + } + }, + "required": [ + "name" + ], + "type": "object" + }, + "type": "array" + }, + "image": { + "type": "string" + }, + "repository": { + "format": "uri", + "type": "string" + } + }, + "type": "object" +}
- Changed
comind.mcp_proxy_example2 fields changed- added
Input schema / additionalPropertiesAdded value: +false - changed
Output schema / (root)Previous value: -nullNew value: +{ + "properties": { + "agent_wide_endpoint": { + "type": "string" + }, + "auth_header": { + "type": "string" + }, + "clients": { + "description": "Per-client connection commands.", + "type": "object" + }, + "endpoint": { + "type": "string" + }, + "note": { + "type": "string" + }, + "summary": { + "type": "string" + } + }, + "type": "object" +}
- Changed
comind.openapi_example2 fields changed- added
Input schema / additionalPropertiesAdded value: +false - changed
Output schema / (root)Previous value: -nullNew value: +{ + "properties": { + "create_source": { + "description": "POST /sources request body.", + "type": "object" + }, + "inline_spec_alternative": { + "type": "object" + }, + "note": { + "type": "string" + }, + "result": { + "type": "string" + }, + "steps": { + "items": { + "type": "string" + }, + "type": "array" + }, + "summary": { + "type": "string" + } + }, + "type": "object" +}
- Changed
comind.self_host2 fields changed- added
Input schema / additionalPropertiesAdded value: +false - changed
Output schema / (root)Previous value: -nullNew value: +{ + "properties": { + "docker_run": { + "description": "Ready-to-run command for a zero-infra instance.", + "type": "string" + }, + "repository": { + "format": "uri", + "type": "string" + }, + "run_modes": { + "items": { + "properties": { + "database_url": { + "type": "string" + }, + "mode": { + "type": "string" + }, + "use_for": { + "type": "string" + } + }, + "type": "object" + }, + "type": "array" + } + }, + "type": "object" +}
5 tool updates
v1.0.0- First observed
comind.about - First observed
comind.config - First observed
comind.mcp_proxy_example - First observed
comind.openapi_example - First observed
comind.self_host
TDQS
Scored across 5 tools
Each tool returns a distinct type of documentation (overview, config, connection examples, OpenAPI integration, self-hosting), with no overlap in purpose.
All tool names follow the pattern comind.<descriptive_noun_phrase> with consistent use of underscores, e.g., mcp_proxy_example, self_host.
With 5 tools, the server covers key aspects of ComindMCP documentation without being excessive or insufficient for its informational purpose.
The tools cover major reference areas (overview, config, connection, OpenAPI, self-host). Missing minor aspects like troubleshooting, but core needs are met.
Maintenance
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