Remote Model Context Protocol (MCP) server for Squad AI. Manage your product strategy with your favourite AI agent.
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Mature repo (>1y old)
- ✓Documented (README)
- !No standard license detected
git clone https://github.com/the-basilisk-ai/squad-mcp{
"mcpServers": {
"squad-mcp": {
"command": "node",
"args": ["/path/to/squad-mcp/dist/index.js"]
}
}
}MCP Servers overview
# Squad MCP Server
[](https://smithery.ai/servers/squadai/squad)
A remote MCP server that brings [Squad](https://meetsquad.ai) — the AI product feedback intelligence platform — directly into your AI workflows. Connect Squad to Claude, ChatGPT, or any MCP-compatible AI assistant to turn raw user feedback into signals, insights, actions, and briefs without context switching.
Squad continuously ingests feedback, clusters it into **signals**, distils it into **insights**, and links it to the **actions** and **goals** that move your product forward. The MCP server exposes that same intelligence — read the evidence behind a decision, capture new feedback, and generate briefs from your assistant.
## 🚀 Quick Start
### For Users
Connect Squad to your AI assistant in seconds:
**Claude Code:**
```bash
claude mcp add --transport http squad https://mcp.meetsquad.ai/mcp
```
On first use, you'll be prompted to authenticate via OAuth in your browser.
**Other MCP Clients:**
Connect using `https://mcp.meetsquad.ai/mcp` — OAuth configuration is automatically discovered via the server's `.well-known/oauth-protected-resource` metadata (which points clients at PropelAuth as the authorization server).
## 📖 Usage Examples
See **[USAGE_EXAMPLES.md](./USAGE_EXAMPLES.md)** for detailed real-world examples. A few things you can ask:
- **Triage feedback** — "Capture this support ticket in Squad and tell me if it's a known theme."
- **Weekly review** — "Run my weekly product review: what changed and what needs deciding?"
- **Ground the evidence** — "Show me the customer signals behind insight IN-42."
- **Draft a brief** — "Generate a brief for action AC-12."
- **Search everything** — "Find all feedback related to onboarding friction."
- **Ground a ticket** — "Pull the customer evidence behind AC-7 before I build it."
Squad entities are referenced by short **display IDs** so the assistant can cite its evidence:
| Prefix | Entity | Prefix | Entity |
| ------ | --------------- | ------ | ----------------- |
| `SI-` | Signal | `GL-` | Goal |
| `IN-` | Insight | `BR-` | Brief |
| `AC-` | Action | `DC-` | Document |
| `CL-` | Cluster | | |
## Tools
The server exposes 30 tools. Write tools require a token minted with the `write:workspace` scope; read tools only need `read:workspace`.
- `list_workspaces` — List every organisation and workspace you can access, with the current selection marked.
- `select_workspace` — Select which organisation and workspace subsequent tools operate on.
- `get_workspace_overview` — One-call orientation: mission and description, top goals, recent signal activity, evidence-chain health, and open work counts.
- `update_workspace` — Update the current workspace's name, description, mission statement or logo.
- `list_members` — People in the current organisation with their user IDs.
- `search` — Keyword search across signals, insights, actions, goals, documents and clusters.
- `get_entity` — Fetch any entity by display ID (`SI-1`, `IN-1`, `AC-1`, `GL-1`, `BR-1`, `DC-1`, `CL-1`) or UUID. Also how you check on async work.
- `list_signals` — Browse raw feedback signals with filters for source, type, sentiment, cluster and date range.
- `find_similar_signals` — Semantically related signals for a given signal — "has anyone else said this?".
- `list_clusters` — Browse signal clusters (recurring themes in feedback) with sizes and labels.
- `get_cluster` — A cluster's label, stats, member signals and linked insights.
- `list_insights` — Browse distilled insights ranked by combined score, with category/score/status filters or scoped to a goal.
- `list_actions` — Ranked actions (what the evidence says to do next) filtered by status, assignee, priority or parent insight.
- `get_action_context` — Everything needed to execute an action in one call: the action, the parent insight, the customer evidence behind it, and the goals it serves.
- `update_action` — Edit an action's priority, effort, category or notes; assign it; or link it to an insight or brief.
- `update_action_status` — Move an action through its lifecycle: start, complete, dismiss or snooze.
- `list_goals` — Strategic goals ordered by importance.
- `create_goal` — Create a strategic goal.
- `update_goal` — Update a goal's title, description or importance.
- `update_insight` — Curate an insight: set category or status, and link/unlink the goal it supports.
- `dismiss_signal` — Permanently remove a signal from the workspace (noise, spam, or mis-ingested content).
- `get_activity` — The workspace change feed (humans and Squad agents), newest first.
- `list_documents` — Browse workspace knowledge documents (and briefs) with their paths and tags.
- `create_document` — Create a knowledge document from markdown (research summaries, meeting notes, analyses).
- `update_document` — Replace a document's markdown body and/or title, and manage tags.
- `list_briefs` — Briefs with their status (building/draft/in_review/finalised/failed) and recommendation.
- `generate_brief` — Kick off AI generation of a brief from an action or insight.
- `update_brief_status` — Move a brief through its review lifecycle: draft, in_review, or finalised.
- `ingest_signal` — Pipe user feedback into the evidence chain (1–50 items, deduplicated server-side).
- `list_integrations` — Connected feedback sources for this workspace and their sync health.
### Prompts
Ready-made workflows exposed as MCP prompts:
- **`triage-feedback`** — check for duplicates, ingest a piece of feedback, and report where it landed.
- **`weekly-product-review`** — what changed, what the evidence says, and what needs deciding.
- **`draft-decision-brief`** — generate a brief from an action or insight and walk it to a readable draft.
- **`ground-this-ticket`** — for coding agents: pull the customer evidence behind a piece of work before building it.
### Resources
Pin these so strategy questions need no tool calls:
- **`squad://workspace/context`** — the current workspace's mission and product context.
- **`squad://goals`** — the workspace's strategic goals with importance rankings.
### Tool Capabilities
- ✅ Safety annotations (`readOnlyHint` / `destructiveHint`) on every tool
- ✅ Structured Zod input schemas
- ✅ User- and workspace-isolated data access via OAuth
- ✅ Scope-gated writes (`write:workspace`)
## 🏗️ Architecture
```
┌─────────────┐ OAuth ┌──────────────┐
│ Claude / │ ◄────────────────────► │ PropelAuth │
│ ChatGPT │ (Authentication) │ (IdP) │
└─────────────┘ └──────────────┘
│
│ HTTPS + Bearer Token
▼
┌──────────────────────────────────────────────┐
│ Squad MCP Server │
│ ┌────────────────────────────────────────┐ │
│ │ OAuth → introspect + verify token │ │
│ │ JWT minting → service credentials │ │
│ │ Redis → workspace selection + tokens │ │
│ │ MCP handler → tools / prompts / res. │ │
│ │ PostHog → tool-call telemetry │ │
│ └────────────────────────────────────────┘ │
└──────────────────────────────────────────────┘
│
│ Squad API Calls (minted JWT)
▼
┌──────────────┐
│ Squad API │
└──────────────┘
```
The server is built on [`mcp-use`](https://github.com/mcp-use/mcp-use) v2 and talks to the Squad platform API over **GraphQL**. Each request is served statelessly: the MCP layer holds no session, and every call re-introspects its own bearer token. **Redis** stores the durable per-user state (workspace selection and minted-token cache), so any instance can serve any request. Backend types are generated from a committed GraphQL schema snapshot (see [GraphQL codegen](#graphql-codegen)).
## 🛠️ Development
This repository contains the source code for the Squad MCP remote server.
### Prerequisites
- Node.js 22+
- pnpm
- Nix (optional, for a reproducible dev environment via `flake.nix`)
- PropelAuth credentials (OAuth 2.1 client + backend API key)
- Redis (optional locally; workspace selection falls back to in-memory)
### Local Setup
```bash
# Clone repository
git clone https://github.com/the-basilisk-ai/squad-mcp.git
cd squad-mcp
# Install dependencies
pnpm install
# Configure environment
cp .env.example .env
# Edit .env with your PropelAuth credentials (and SQUAD_ENV=dev to target the dev platform)
# Start development server with hot reload
pnpm dev
# Server available at http://localhost:3232
```
### Environment Variables
| Variable | Required | Purpose |
| ----------------------------------------------------------------- | -------- | -------------------------------------------------------------- |
| `PROPELAUTH_CLIENT_ID` / `PROPELAUTH_CLIENT_SECRET` | ✅ | OAuth 2.1 client credentials for token introspection |
| `PROPELAUTH_API_KEY` | ✅ | Backend integration key for minting service JWTs |
| `SQUAD_ENV` | | `dev` or `production` (default `production`) — selects auth/API/app URLs |
| `PORT` / `MCP_URL` / `BASE_URI` | | Server port and externally-advertised base URL |
| `REDIS_URL` | | Redis connection for deploy-safe workspace selection and token cache (in-memory if unset) |
| `SQUAD_GRAPHQL_URL` | | Override the Squad GraphQL endpoint (also used by codegen) |
| `POSTHOG_API_KEY` / `POSTHOG_HOST` | | Enable tool-call telemetry What people ask about squad-mcp
What is the-basilisk-ai/squad-mcp?
+
the-basilisk-ai/squad-mcp is mcp servers for the Claude AI ecosystem. Remote Model Context Protocol (MCP) server for Squad AI. Manage your product strategy with your favourite AI agent. It has 2 GitHub stars and its last recorded update is dated 2026-09-22.
How do I install squad-mcp?
+
You can install squad-mcp by cloning the repository (https://github.com/the-basilisk-ai/squad-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is the-basilisk-ai/squad-mcp safe to use?
+
Our security agent has analyzed the-basilisk-ai/squad-mcp and assigned a Trust Score of 67/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains the-basilisk-ai/squad-mcp?
+
the-basilisk-ai/squad-mcp is maintained by the-basilisk-ai. The last recorded GitHub activity is dated 2026-09-22, with 1 open issues.
Are there alternatives to squad-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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