PolyAI Agent Studio MCP Server

An MCP (Model Context Protocol) server that exposes the PolyAI Agent Studio Cursor rules as tools and resources, making them available to any MCP-compatible client (Claude Desktop, Cursor, etc.).

Tools

Related MCP server: @willpowell8/cursor-cloud-agent-mcp

Available Rules

• agent-studio-anti-patterns — Common mistakes and anti-patterns to avoid

• agent-studio-conversation-style — Natural language and conversation style guidelines

• agent-studio-entities — Entity definition patterns

• agent-studio-flows — Flow structure, step prompts, navigation

• agent-studio-lifecycle-functions — start/end function patterns

• agent-studio-low-code-flows — Low-code flow configuration

• agent-studio-project-structure — Project directory layout and required files

• agent-studio-state-and-metrics — State management and metrics tracking

• agent-studio-topics — Topic YAML format and patterns

• agent-studio-utterances — Utterance/example query guidelines

• agent-studio-writing-functions — Python function writing patterns

• call-diagnostics — Call diagnostics patterns

• call-diagnostics-trigger — Call diagnostics trigger configuration

Running Locally

# stdio (for Claude Desktop / Cursor)
python server.py

# SSE HTTP server
MCP_TRANSPORT=sse PORT=8000 python server.py

Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json)

{
  "mcpServers": {
    "polyai-agent-studio": {
      "command": "python",
      "args": ["/path/to/polyai-agent-studio-mcp/server.py"],
      "env": { "MCP_TRANSPORT": "stdio" }
    }
  }
}

Remote (hosted) config

{
  "mcpServers": {
    "polyai-agent-studio": {
      "url": "https://YOUR-RAILWAY-URL/mcp"
    }
  }
}

Deploying to Railway

1. Fork / push this repo to GitHub

2. Go to railway.app, create a new project → Deploy from GitHub repo

3. Railway auto-detects the Dockerfile and deploys

4. Set env vars if needed (defaults work out of the box)

5. Your MCP server will be available at https://<your-app>.up.railway.app/sse

Health Check

GET /health

Returns:

{"status": "ok", "rules_loaded": 13, "server": "polyai-agent-studio-mcp"}

Updating Rules

Rules are stored in rules/*.md. To update:

1. Copy new/updated .md files into rules/

2. Push to GitHub — Railway redeploys automatically