How to integrate Cursor MCP with Pi

Connect Pi to Cursor MCP. List all active cloud agents for this project, show recent code changes tracked by cursor, and more using natural language, with authentication handled for you.

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Cursor

Api Key

Cursor is an AI-powered code editor built on VSCode. It delivers smart, collaborative coding with integrated analytics and agent support.

5 Tools

Managed auth

Connect Cursor without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

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Introduction

Pi is a minimal, self-extensible coding agent that lives in your terminal — one agent loop over Claude, GPT-5, Gemini, Grok, DeepSeek, and 20+ other providers, with maximum extension surface and minimum product opinion. Its core ships four tools (read, write, edit, bash) and self-extends at runtime through skills, extensions, and packages.

This guide explains the easiest and most robust way to connect your Cursor account to Pi. You can do this through either Composio Connect CLI or Composio Connect MCP. Because Pi already runs shell commands as first-class tools and ships no built-in MCP, the CLI is the recommended path — it's faster to set up, needs no server config, and chains multi-step tasks more reliably. The MCP path is also fully supported through Pi's official pi-mcp-adapter extension.

What is Composio Connect?

Composio Connect is a consumer offering that lets anyone plug 1,000+ applications directly into their agent harness — including Pi. It can:

Search and load tools from relevant toolkits on-demand, reducing context usage.
Chain multiple tools to accomplish complex workflows via a remote workbench, without excessive back-and-forth with the LLM.
Manage app authentication end-to-end with zero manual overhead.

Connect Cursor to Pi with Composio

Prerequisites: Install Pi

Pi needs Node.js 18+ (Node 22 recommended). Install the agent globally with npm:

bash

npm install -g --ignore-scripts @earendil-works/pi-coding-agent

On Linux or macOS you can use the installer script instead:

bash

curl -fsSL https://pi.dev/install.sh | sh

Then run pi in any project directory and authenticate your model provider — use /login inside Pi for subscription providers (Claude Pro/Max, ChatGPT, GitHub Copilot), or set an API key such as ANTHROPIC_API_KEY before starting. Confirm it's working:

bash

pi --version

Full first-run details are in the Pi Quickstart.

Option 1: Composio CLI (recommended)

Pi runs shell commands as first-class tools, so the Composio Universal CLI is the most natural fit — no MCP server to configure and reliable multi-step tool chaining. Install and authenticate:

bash

# Install the Composio CLI
curl -fsSL https://composio.dev/install | bash

# Log in to Composio
composio login

Connect to Cursor

Ask Pi to connect to Cursor, or simply request any Cursor-related task. Under the hood Pi calls Composio commands like any other shell tool:

bash

composio search "what can I do with Cursor?"
composio link cursor

On the first Cursor call, composio link cursor opens an OAuth prompt so you can authorize access. After that, every Cursor command works with your stored credentials automatically — just talk to Pi and it will search, execute, and chain Cursor tools as needed.

Option 2: Composio MCP

Pi's core intentionally ships no built-in MCP, but the official pi-mcp-adapter extension adds full MCP support — exposing every server through a single lightweight proxy tool (~200 tokens) instead of loading hundreds of tool definitions into context.

1. Install the MCP adapter extension

bash

pi install npm:pi-mcp-adapter

Restart Pi after installation.

2. Add the Composio MCP server

Create (or edit) a .mcp.json file in your project root, or ~/.config/mcp/mcp.json for a user-global setup:

bash

{
  "mcpServers": {
    "composio": {
      "url": "https://connect.composio.dev/mcp"
    }
  }
}

The adapter connects lazily by default — the server won't start until Pi actually calls one of its tools, and cached metadata keeps search and describe working without a live connection.

3. Authenticate

Run /mcp-auth inside Pi to open the authentication modal and select composio from the list. Complete the sign-in in your browser, then on the consent screen click Allow access to authorize Composio. Once approved, the server shows as connected inside Pi:

Pi /mcp-auth modal listing the composio MCP server

Composio OAuth consent screen with the Allow access button

4. Done!

Confirm the server is live with /mcp to open the interactive panel, then ask Pi to connect to Cursor or request any Cursor-related task — it will prompt you to authorize Cursor on first use.

What is the Cursor MCP server, and what's possible with it?

The Cursor MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cursor account. It provides structured and secure access so your agent can perform Cursor operations on your behalf.

Way Forward

With Cursor connected, Pi can now act on your behalf whenever you ask it to.

From here, you can extend Pi further:

Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup. Each new integration compounds what Pi can do for you.
Build workflows across tools: Once multiple apps are connected, Pi can chain actions together — turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
Lean into Pi's extension surface: Wrap common Cursor flows as Pi skills or prompt templates so recurring tasks become one-line commands, and use directTools in the MCP adapter to promote your most-used Cursor tools into Pi's tool list directly.

If you run into trouble or want to share what you've built, join the community or check out the Docs for deeper configuration options.

TOOLS

Supported Tools

Every Cursor action and event your agent gets out of the box.

Get Agent Conversation

Tool to retrieve the conversation history for a specific cloud agent.

Get API Key Info

Tool to retrieve API key information including the key name, creation date, and owner email.

List Agents

Tool to retrieve a paginated list of all Cursor Cloud agents.

List Available Models

Tool to retrieve the list of available AI models in Cursor.

List GitHub Repositories

Tool to list GitHub repositories accessible to the authenticated user.

FRAMEWORKS

How to build Cursor MCP Agent with another framework

ChatGPT Work

Use Cursor MCP with ChatGPT Work

Antigravity

Use Cursor MCP with Antigravity

OpenAI Agents SDK

Use Cursor MCP with OpenAI Agents SDK

Claude Agent SDK

Use Cursor MCP with Claude Agent SDK

Claude Code

Use Cursor MCP with Claude Code

Claude Cowork

Use Cursor MCP with Claude Cowork

Codex

Use Cursor MCP with Codex

Kimi Code

Use Cursor MCP with Kimi Code

Grok Build

Use Cursor MCP with Grok Build

Cursor

Use Cursor MCP with Cursor

VS Code

Use Cursor MCP with VS Code

OpenCode

Use Cursor MCP with OpenCode

OpenClaw

Use Cursor MCP with OpenClaw

Hermes

Use Cursor MCP with Hermes

CLI

Use Cursor MCP with CLI

Google ADK

Use Cursor MCP with Google ADK

LangChain

Use Cursor MCP with LangChain

Vercel AI SDK

Use Cursor MCP with Vercel AI SDK

Mastra AI

Use Cursor MCP with Mastra AI

LlamaIndex

Use Cursor MCP with LlamaIndex

CrewAI

Use Cursor MCP with CrewAI

Pydantic AI

Use Cursor MCP with Pydantic AI

AutoGen

Use Cursor MCP with AutoGen

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FAQ

Frequently asked questions

With a standalone Cursor MCP server, the agents and LLMs can only access a fixed set of Cursor tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cursor and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pi fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Cursor tools.

Yes, absolutely. You can configure which Cursor scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Cursor data and credentials are handled as safely as possible.

Start with Cursor.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Cursor tool your agent needs.Free to start.

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How to integrate Cursor MCP with Pi

Connect Cursor without auth hassles

Introduction

Also integrate Cursor with

What is Composio Connect?

Connect Cursor to Pi with Composio

Prerequisites: Install Pi

Option 1: Composio CLI (recommended)

Connect to Cursor

Option 2: Composio MCP

1. Install the MCP adapter extension

2. Add the Composio MCP server

3. Authenticate

4. Done!

What is the Cursor MCP server, and what's possible with it?

Way Forward

Supported Tools

How to build Cursor MCP Agent with another framework

ChatGPT Work

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Kimi Code

Grok Build

Cursor

VS Code

OpenCode

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Supabase

Codeinterpreter

GitHub

1password

Frequently asked questions

What are the differences in Tool Router MCP and Cursor MCP?+

Can I use Tool Router MCP with Pi?+

Can I manage the permissions and scopes for Cursor while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Cursor.It takes 30 seconds.