Squad MCP Server

A Model Context Protocol (MCP) server that connects Squad — the AI‑powered product‑discovery and strategy platform — to any MCP‑aware large‑language‑model (LLM) application. It exposes a rich tool‑kit for creating, querying and updating product‑strategy artefacts (opportunities, solutions, outcomes, requirements, knowledge, workspaces and feedback) directly from your favourite AI co‑pilot.

This repository also contains the source code for the @squadai/tools NPM package, which provides the client-side tools for interacting with the Squad API.

Why?

With the Squad MCP Server you can research, ideate and plan products in one conversational flow, without ever leaving your editor or chat window.

✨ Tools

Each tool conforms to the MCP JSON‑schema format so agents can introspect inputs and outputs automatically.

🚀 Quick start

1 · Obtain a Squad API key

1. Sign up / sign in at .
2. Open Settings → Developer → API Keys.
3. Create a key and copy the value.

2 · Run the server

Pick whichever installation method suits your environment.

Option A – Stand‑alone executable (recommended for local usage)

Download the latest binary for your operating system from the project’s GitHub releases page and run it directly:

# Windows
squad-mcp.exe

# macOS / Linux — make the file executable first
chmod +x squad-mcp
./squad-mcp

Pass environment variables in the usual way:

SQUAD_API_KEY= SQUAD_ENV=production ./squad-mcp

Option B – Docker (recommended for production)

# Build the image (once)
docker build -t mcp/meet-squad -f Dockerfile .

# Run the server on stdio
docker run --rm -i \
  -e SQUAD_API_KEY= \
  mcp/meet-squad

Option C – From source

git clone https://github.com/the-basilisk-ai/squad-mcp.git
cd squad-mcp
npm install
npm run build           # transpiles to ./dist
node dist/index.js

📦 NPM Package (@squadai/tools)

This repository also includes an NPM package, @squadai/tools, which provides a set of functions for interacting with the Squad API programmatically from your own Node.js applications or scripts.

To install the package:

npm install @squadai/tools
# or
yarn add @squadai/tools
# or
pnpm add @squadai/tools

You can then import and use the tools in your code. You will still need a Squad API key or JWT for authentication (see Quick start section above).

Example usage (Vercel AI):

import { generateText, tool } from 'ai';
import { tools as squadTools } from "@squadai/tools"

const result = await generateText({
  model: yourModel,
  tools: squadTools({
    jwt: "JWT",
    orgId: "orgId",
    workspaceId: "workspaceId"
  }),
  prompt: 'What is the weather in San Francisco?',
});

⚙️ Integrating with an MCP client

Add a mcpServers entry to your client’s configuration (e.g. claude_desktop_config.json or Cursor). Adjust command to match the installation method.

Using the stand‑alone executable

{
  "mcpServers": {
    "meet-squad": {
      "command": "C:/path/to/squad-mcp.exe",
      "env": {
        "SQUAD_API_KEY": "YOUR_API_KEY_HERE",
      }
    }
  }
}

Using Docker

{
  "mcpServers": {
    "meet-squad": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "SQUAD_API_KEY",
        "mcp/meet-squad"
      ],
      "env": {
        "SQUAD_API_KEY": "YOUR_API_KEY_HERE",
      }
    }
  }
}

Prefer "command": "npx" if you installed via NPX.

Once your client restarts you should see the Squad tools (hammer 🔨 icon) listed and ready for use.

🛠️ Environment variables

🧑‍💻 Development

npm install
npm run format      
npm run openapi:squad   # re‑generate typed client from openapi/squad.json
npm run build       
node dist/index.js

The test suite is work‑in‑progress; contributions welcome.

Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!