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Bridge AI coding hosts to cursor-agent over the Agent Client Protocol.
About
Bridge AI coding hosts to cursor-agent over the Agent Client Protocol.
Security Report
Cursor Delegate is a well-structured MCP server for delegating coding tasks to Cursor's CLI agent. The codebase demonstrates solid security practices with proper input validation, error handling, and reasonable permission scoping. Minor code quality observations exist (broad exception handling, verbose test code) but do not constitute security vulnerabilities. The server operates safely within its intended purpose of acting as a bridge between AI assistants and the Cursor CLI agent. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-andreilungeanu-cursor-delegate-mcp": {
"args": [
"-y",
"cursor-delegate-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Cursor 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.
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.

🧠 Frontier quality, kept
Your assistant does what frontier models are for: understands the task, writes a precise brief, reviews the finished diff. Composer 2.5 runs the implementation loop under that brief. The bundled skill puts the review step in the loop — the agent that scoped the work reads the changed files back before reporting.
⚡ 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.
- 📋 Plan first —
planmode: Cursor drafts a plan, you review it, then the same session implements it. - 🔍 Ask anything —
askmode: 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.
plan and ask are instructions to the agent, and workspace is its working directory — Security and the delegate reference spell out what the bridge enforces and what it reports back.
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
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.
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.
{
"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.
License
MIT © Andrei Lungeanu
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