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
opportunity_* | Discover and refine product opportunities | create, list, update |
solution_* | Generate and iterate on solutions | create, list, update |
outcome_* | Track desired business or user outcomes | create, list |
requirement_* | Capture detailed requirements | create, list |
knowledge_* | Store useful references / research | create, list |
workspace_* | Manage Squad workspaces | get, update |
feedback_* | Send customer or analytics feedback into Squad | create |
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
- Sign up / sign in at https://meetsquad.ai.
- Open Settings → Developer → API Keys.
- 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:
squad-mcp.exe
chmod +x squad-mcp
./squad-mcp
Pass environment variables in the usual way:
SQUAD_API_KEY=<your‑key> SQUAD_ENV=production ./squad-mcp
Option B – Docker (recommended for production)
docker build -t mcp/meet-squad -f Dockerfile .
docker run --rm -i \
-e SQUAD_API_KEY=<your‑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
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
yarn add @squadai/tools
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
SQUAD_API_KEY | Yes | – | Personal access token generated in Squad |
SQUAD_ENV | No | production | Override the Squad API base URL (staging , development , …) |
🧑💻 Development
npm install
npm run format
npm run openapi:squad
npm run build
node dist/index.js
The test suite is work‑in‑progress; contributions welcome.