cursor-delegate-mcp
Stop burning your Claude or Codex limits on boilerplate. Delegate multi-file implementation to Cursor's Composer 2.5 over MCP — your frontier model writes the brief and reviews the diff; Composer does the typing, fast, on a separate quota.
Install / Use
claude mcp add andreilungeanu -- npx -y github:andreilungeanu/cursor-delegate-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Skill content
View source on GitHubCursor Delegate
Stop burning your frontier agent's limits on boilerplate.
Delegate edits to Cursor's CLI agent — your agent writes the brief and reviews the diff.
<img src="assets/logo-light.png" alt="Cursor Delegate logo" width="150" align="left" hspace="15">Use your best coding agent where its judgment matters most: understanding the task, shaping the plan, and reviewing the result.
Cursor Delegate is the MCP bridge that lets Claude Code, ChatGPT/Codex, Copilot — or any MCP client — hand implementation to Cursor's CLI agent, then get a clean, structured result back for review.
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🧠 Frontier quality, kept
Your assistant does what frontier models are actually for: understands the task, writes a precise brief, reviews the finished diff. Composer 2.5 runs the implementation loop under that brief. Nothing lands unreviewed — the agent that scoped the work reads the changed files back before you see them.
⚡ Done faster
Composer 2.5 is built for throughput on multi-file edits. The whole delegation is one call — brief in, result out — so you review a finished diff instead of babysitting edits landing file by file.
🔋 Your limits stop being the bottleneck
Composer and Grok run on their own usage allowance on every Cursor plan — separate from the API-priced main quota, and generous enough that most people never reach the ceiling. Your Claude or Codex subscription spends tokens only on the brief and the review, so the 5-hour window and weekly limits go a lot further. Paying per token on API? That grind moves onto Cursor capacity you already have.


Features
- 🤝 Native plugins — install into Claude Code, ChatGPT/Codex, or GitHub Copilot CLI and just say "delegate this to Cursor". The shared skill teaches your agent how to delegate well.
- 💬 No stalled runs — if Cursor needs to clarify, it ends the turn and returns the question as a normal result. Your agent reads it and answers by resuming the same session — nothing blocks on a modal waiting for input.
- 📦 Clean, named results — final answer, changed files, session id, and the plan, returned as one compact JSON payload. Nothing to scrape, nothing to guess.
- 📋 Plan first —
planmode: Cursor drafts a plan, you review it, then the same session implements it. - 🔍 Ask anything —
askmode: read-only Q&A over your codebase. - 🩺 Self-diagnosing — a
doctortool that tells you exactly what's missing if setup isn't right. - 🔌 Portable — plain stdio MCP, so it runs anywhere: VS Code, JetBrains, Windsurf, Visual Studio, and more.
Install
You need Node.js 20+ and the Cursor CLI, logged in (cursor-agent login).
Claude Code
/plugin marketplace add andreilungeanu/cursor-delegate-mcp
/plugin install cursor-delegate@cursor-delegate-mcp
Then just ask:
Delegate to Cursor: migrate src/api from callbacks to async/await and update the tests, then walk me through what changed.
That's the whole loop — Claude writes the brief, Cursor grinds through the files, Claude walks you through the diff.
ChatGPT desktop / Codex
codex plugin marketplace add andreilungeanu/cursor-delegate-mcp
codex plugin add cursor-delegate@cursor-delegate-mcp
GitHub Copilot CLI
copilot plugin install andreilungeanu/cursor-delegate-mcp
Any other MCP client
{
"mcpServers": {
"cursor-delegate": {
"command": "npx",
"args": ["-y", "cursor-delegate-mcp"]
}
}
}
Client-specific config locations
<details> <summary><strong>VS Code</strong> — one-click install, or <code>.vscode/mcp.json</code></summary>Or add it manually:
{
"servers": {
"cursor-delegate": {
"type": "stdio",
"command": "npx",
"args": ["-y", "cursor-delegate-mcp"]
}
}
}
Or run Chat: Install Plugin From Source with this repository's URL.
</details> <details> <summary><strong>JetBrains AI Assistant</strong> — Settings → Tools → AI Assistant → MCP</summary>Under Settings → Tools → AI Assistant → Model Context Protocol (MCP), add a server with command npx and arguments -y cursor-delegate-mcp.
{
"mcpServers": {
"cursor-delegate": {
"command": "npx",
"args": ["-y", "cursor-delegate-mcp"]
}
}
}
Heads-up: Cascade caps you at 100 tools across all servers.
</details> <details> <summary><strong>Visual Studio 2022</strong> — <code>%USERPROFILE%\.mcp.json</code></summary>{
"servers": {
"cursor-delegate": {
"type": "stdio",
"command": "npx",
"args": ["-y", "cursor-delegate-mcp"]
}
}
}
Requires 17.14+. Note the top-level key is servers, not mcpServers.
Use the portable definition above in the client's own MCP config file.
</details>License
MIT © Andrei Lungeanu
<sub>Technical reference · Security · Privacy · Terms · Changelog</sub>
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