MCP Connector

Sync product strategy data with Squad AI platform

Squad MCP server brings AI product feedback intelligence - signals, insights, actions, and briefs - into Claude or ChatGPT.

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Source checked Sep 26, 2026
Version 4.2.0

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Why it matters

Connect your LLM workflows to Squad AI's product research and strategy platform to centralize and manage product capabilities, solutions, outcomes, requirements, and customer feedback across your organization.

Outcomes

What it gets done

01

Create and track product capabilities and solutions in Squad AI

02

Query existing requirements and outcomes from the platform

03

Update customer feedback and product data in real-time

04

Extract structured product strategy insights for analysis

Source

Get it from source

Spark does not host a copy of it.

Open source

Reports

Agent outcome reports

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Capabilities

Tools your agent gets

create_capability

Create a new capability in the product research platform

query_capability

Query existing capabilities from the product research platform

update_capability

Update an existing capability in the product research platform

create_solution

Create a new solution in the product research platform

query_solution

Query existing solutions from the product research platform

update_solution

Update an existing solution in the product research platform

create_outcome

Create a new outcome in the product research platform

query_outcome

Query existing outcomes from the product research platform

+7 tools

Overview

Squad AI MCP Server

A hosted MCP server that exposes Squad's product feedback intelligence - signals, insights, actions, goals, and briefs - as MCP tools, prompts, and resources for Claude, ChatGPT, or any MCP-compatible assistant, authenticated via OAuth. Use it when your team already tracks product feedback in Squad and wants an AI assistant to ground decisions in that evidence directly from chat.

What it does

Squad MCP Server brings Squad (meetsquad.ai), an AI product feedback intelligence platform, directly into your AI workflows. It exposes Squad's own feedback pipeline - continuously ingested feedback clustered into signals, distilled into insights, and linked to the actions and goals that move a product forward - as MCP tools, prompts, and resources, so an AI assistant can read the evidence behind a product decision, capture new feedback, and generate briefs without switching to Squad's own UI.

When to use - and when NOT to

Use it when you already use Squad to manage product feedback and want Claude, ChatGPT, or another MCP-compatible assistant to triage incoming feedback, run a weekly product review, ground a ticket or insight in its underlying customer evidence, search across all captured feedback, or draft a decision brief - referencing Squad entities by their short display IDs (SI- for Signal, IN- for Insight, AC- for Action, GL- for Goal, BR- for Brief, DC- for Document, CL- for Cluster). It is a hosted, OAuth-authenticated service maintained by Squad, not a tool you self-host to use - the dev setup documented in the repository is for contributors to the server itself, not for end users connecting an assistant to their workspace.

Capabilities

The server exposes roughly 35 tools across nine categories: workspace (list/select workspace, overview, members), search (semantic search, fetch any entity by ID), evidence (signals, similar-signal matching, clusters, insights), actions (list, get context, update, update status), strategy (goals, insights, dismiss a signal, activity), knowledge (documents), briefs (list, generate, update status), ingest (capture new feedback with deduplication), and integrations (list connected feedback sources). Write tools require a token minted with the write:workspace OAuth scope, while read tools only need read:workspace. The server talks to the Squad platform API over GraphQL and ships four ready-made prompt workflows (triage-feedback, weekly-product-review, draft-decision-brief, ground-this-ticket) and two pinnable resources for workspace context and goals, plus safety annotations, structured Zod input schemas, and user- and workspace-isolated data access on every tool. It is open source under the MIT license.

How to install

For Claude Code, add it directly as a remote MCP server:

claude mcp add --transport http squad https://mcp.meetsquad.ai/mcp

You'll be prompted to authenticate via OAuth in your browser on first use. Other MCP clients can connect to the same https://mcp.meetsquad.ai/mcp endpoint - OAuth configuration is discovered automatically via the server's .well-known/oauth-protected-resource metadata, which points to PropelAuth as the authorization server. No self-hosting or API key is required.

Who it's for

Product managers and teams already using Squad to track feedback signals, insights, actions, and goals who want their AI assistant to ground its answers in that evidence, run recurring reviews, and draft briefs directly from chat instead of switching to Squad's own dashboard.

Source README

Squad MCP Server

smithery badge

A remote MCP server that brings Squad - 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:

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 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 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).

🛠️ 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

# 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
LOG_LEVEL Logger verbosity

Available Commands

pnpm dev                # Start dev server with hot reload (mcp-use)
pnpm build              # Build the server (mcp-use)
pnpm start              # Start the built server
pnpm deploy             # Deploy via mcp-use
pnpm test               # Run unit tests (vitest)
pnpm format             # Lint/format check (biome)
pnpm format:fix         # Auto-fix lint/format issues
pnpm codegen            # Regenerate GraphQL types from schema.graphql
pnpm codegen:check      # Fail if generated GraphQL types are stale

Testing the Server

# Check health
curl http://localhost:3232/health

# Check OAuth discovery
curl http://localhost:3232/.well-known/oauth-protected-resource

# Check server-card discovery (SEP-2127)
curl -H 'Accept: application/mcp-server-card+json' \
  http://localhost:3232/mcp/server-card
curl http://localhost:3232/.well-known/ai-catalog.json

# Test with the built-in inspector
pnpm dev   # then open the inspector and connect to http://localhost:3232/mcp

Project Structure

squad-mcp/
├── server.ts                   # MCP server entry point (OAuth, tool/prompt/resource registration)
├── server.json                 # MCP registry metadata (see MCP_REGISTRY.md)
├── schema.graphql              # Committed snapshot of the Squad platform GraphQL schema
├── codegen.ts                  # GraphQL Code Generator config
├── src/
│   ├── tools/                  # Tool implementations, grouped by surface
│   │   ├── registry.ts         # Single registration path (annotations, errors, telemetry)
│   │   ├── workspace.ts        # list/select workspaces, overview, members
│   │   ├── search.ts           # semantic search
│   │   ├── get-entity.ts       # fetch any entity by display ID / UUID
│   │   ├── evidence.ts         # signals, clusters, insights
│   │   ├── actions-read.ts     # list actions, action context
│   │   ├── actions-write.ts    # update actions + status
│   │   ├── strategy-read.ts    # goals, activity
│   │   ├── strategy-write.ts   # create/update goals, insights, dismiss signals
│   │   ├── knowledge.ts        # documents + briefs
│   │   ├── ingest.ts           # ingest new signals
│   │   └── integrations.ts     # list connected sources
│   ├── prompts/                # MCP prompt workflows
│   ├── resources/              # MCP resources (workspace context, goals)
│   ├── gql/                    # Generated GraphQL types (pnpm codegen)
│   ├── graphql/                # GraphQL operation documents
│   ├── helpers/                # OAuth provider, token minting, workspace selection, KV/Redis
│   └── lib/                    # Squad API client, logger, telemetry, server card
├── railway.toml                # Railway deployment config
└── .env.example                # Environment template

🏭 Production Deployment

This is a hosted service maintained by Squad. Users connect via OAuth - no self-hosting required.

Architecture notes (for contributors):

  • Deployed on Railway with a /health readiness check
  • Stateless request handling, with Redis holding the per-user workspace selection and token cache, so instances scale horizontally
  • Follows the MCP specification for streamable HTTP transport
  • Publishes SEP-2127 discovery documents: a Server Card at https://mcp.meetsquad.ai/mcp/server-card and an AI Catalog at https://mcp.meetsquad.ai/.well-known/ai-catalog.json, both public, cacheable and built from server.json

💬 Support

Need help with the Squad MCP server?

🤝 Contributing

Contributions welcome! Pre-commit hooks run biome and vitest automatically. Please ensure:

  • pnpm format passes (biome)
  • pnpm build compiles without errors
  • pnpm test passes
  • pnpm codegen:check passes if you touched GraphQL operations
  • All tools include safety annotations

📄 License

MIT

🔗 Links

GraphQL codegen

Backend access is typed via GraphQL Code Generator. schema.graphql is a
committed snapshot of the Squad platform API schema; src/gql/ is generated
from it plus the operation documents in src/graphql/.

  • Refresh the snapshot: copy packages/graphql/src/schema/generated.graphql
    from the API repo over schema.graphql (or set SQUAD_GRAPHQL_URL to
    introspect a live endpoint), then run pnpm codegen.
  • CI runs pnpm codegen:check and fails when src/gql/ is stale.

FAQ

Common questions

Discussion

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