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Cursor Agent MCP Server

by sailay1996

Cursor Agent MCP Server

Minimal, hardened Model Context Protocol (MCP) server that wraps the cursor-agent CLI and exposes multiple, Claude‑friendly tools for chat, repository analysis, code search, planning, and more.

Core implementation: cursor-agent-mcp/server.js Test harness: cursor-agent-mcp/test_client.mjs Package manifest: cursor-agent-mcp/package.json

Purpose: reduce token usage and cost in Claude Code

This MCP exists to offload heavy “thinking” and repo‑aware tasks from the host (e.g., Claude Code) to the cursor-agent CLI. By letting the CLI handle analysis/planning/search with focused, prompt‑based instructions, you can:

  • Scope work to only the needed files/paths instead of streaming the entire workspace.
  • Choose a cost‑effective model via environment (or per call) and keep the host’s context small.
  • Control response verbosity through output_format ("text" | "markdown" | "json") and tailored prompts.
  • Use specialized tools (analyze, search, plan, edit) that produce targeted outputs rather than general chat.

Cost‑control tips

  • Prefer precise scopes:
    • Use include/exclude globs with cursor_agent_search_repo and curated paths for cursor_agent_analyze_files.
  • Pick output formats intentionally:
    • Use "text" or "markdown" for concise answers. Reserve "json" only when you truly need structured output (it’s usually larger).
  • Select a model that matches the task:
    • Set CURSOR_AGENT_MODEL to a cost‑effective default; override per tool call only when necessary.
  • Avoid unnecessary echo/debug:
    • CURSOR_AGENT_ECHO_PROMPT=1 is helpful during setup, but disables it later to save tokens in host logs.
    • Keep DEBUG_CURSOR_MCP off in normal use; it writes diagnostics to stderr (not counted in host tokens, but noisy).
  • Control runtime instead of idle‑kill:
    • Keep CURSOR_AGENT_IDLE_EXIT_MS="0" so valid runs aren’t cut mid‑generation. Bound cost/time with CURSOR_AGENT_TIMEOUT_MS and focused prompts.
  • Use cursor_agent_raw thoughtfully:
    • It’s powerful and can stream detailed sessions; for cheapest usage, prefer the focused tools with concise prompts and "text" output.

Features

  • Multi‑tool surface modeled after “verb-centric” CLIs
  • Works well in Claude Code and other MCP hosts
  • Safe process spawn (no shell), robust timeout handling
  • Optional prompt echoing for easy debugging inside hosts
  • Configurable defaults via environment variables (model, force, timeouts, executable path)
  • Backward‑compatible legacy tool for single‑shot chat

Requirements

  • Node.js 18+ (tested up to Node 22)
  • A working cursor-agent CLI in your PATH or at an explicit location
  • Provider credentials configured for your chosen model (e.g., via the CLI’s own mechanism)

Installation

  1. Clone or download this repository.
  2. Install dependencies for the MCP server:
cd ./cursor-agent-mcp npm ci # or: npm install
  1. Ensure the cursor-agent CLI is installed and on PATH (or set CURSOR_AGENT_PATH):
cursor-agent --version
  1. Run the MCP server:
# from the server directory node ./server.js # or from the repo root using the provided script npm --prefix ./cursor-agent-mcp run start

Do I need npx?

No. This server runs directly from the repository and is not published to npm (package.json sets "private": true). Use Node to execute server.js after installing dependencies as shown above.

If you later publish this as an npm package and add a bin entry in package.json, you could run it with npx and point your MCP host to that executable instead. Until then, prefer the Node-based command shown here.

Quick smoke test (without an MCP host)

A tiny client is provided to list tools and call one of them over stdio:

# list tools and call chat with a prompt node ./cursor-agent-mcp/test_client.mjs "Hello from smoke test" # run the raw tool with --help (no implicit --print) TEST_TOOL=cursor_agent_raw TEST_ARGV='["--help"]' node ./cursor-agent-mcp/test_client.mjs

The client uses the same stdio transport a host would use. See JavaScript.main().

How it works

All tool calls ultimately invoke the same executor JavaScript.invokeCursorAgent(), which:

  • Resolves the cursor-agent executable (explicit path or PATH)
  • Injects --print and --output-format <fmt> by default
  • Optionally adds -m <model> and -f based on env/args
  • Streams stdout/stderr and enforces a total timeout
  • Optionally kills long‑idle processes (disabled by default)

The legacy wrapper JavaScript.runCursorAgent() accepts a prompt and optional flags, composing the argv and delegating to the executor.

Tools

These tools are registered in JavaScript.server.tool() and below. All tools share the “COMMON” arguments:

  • output_format: "text" | "json" | "markdown" (default "text")
  • extra_args?: string[]
  • cwd?: string
  • executable?: string
  • model?: string
  • force?: boolean
  • echo_prompt?: boolean → prepend “Prompt used: …” to the result

1) cursor_agent_chat

Example:

{ "name": "cursor_agent_chat", "arguments": { "prompt": "Explain SIMD in one paragraph", "output_format": "markdown" } }

2) cursor_agent_edit_file

  • Args: { file: string, instruction: string, apply?: boolean, dry_run?: boolean, prompt?: string, ...COMMON }
  • Behavior: Prompt‑based wrapper. Builds a structured instruction that asks the agent to edit or propose a patch for the file.
  • Code path: JavaScript.server.tool()

Example:

{ "name": "cursor_agent_edit_file", "arguments": { "file": "src/app.ts", "instruction": "Extract the HTTP client into a separate module and add retries", "dry_run": true, "output_format": "markdown" } }

3) cursor_agent_analyze_files

  • Args: { paths: string | string[], prompt?: string, ...COMMON }
  • Behavior: Prompt‑based repository/file analysis listing the paths to focus on.
  • Code path: JavaScript.server.tool()

Example:

{ "name": "cursor_agent_analyze_files", "arguments": { "paths": ["src", "scripts"], "prompt": "Give me a concise architecture overview with module boundaries" } }

4) cursor_agent_search_repo

  • Args: { query: string, include?: string | string[], exclude?: string | string[], ...COMMON }
  • Behavior: Prompt‑based code search over the repo, with optional include/exclude globs.
  • Code path: JavaScript.server.tool()

Example:

{ "name": "cursor_agent_search_repo", "arguments": { "query": "fetch(", "include": ["src/**/*.ts", "app/**/*.tsx"], "exclude": ["node_modules/**", "dist/**"], "output_format": "markdown", "echo_prompt": true } }

5) cursor_agent_plan_task

  • Args: { goal: string, constraints?: string[], ...COMMON }
  • Behavior: Prompt‑based planning tool that returns a numbered plan for your goal.
  • Code path: JavaScript.server.tool()

Example:

{ "name": "cursor_agent_plan_task", "arguments": { "goal": "Set up CI to lint and test this repo", "constraints": ["GitHub Actions", "Node 18"] } }

6) cursor_agent_raw

  • Args: { argv: string[], print?: boolean, ...COMMON }
  • Behavior: Forwards raw argv to the CLI. Defaults to print=false to avoid adding --print; set print=true to inject it.
  • Code path: JavaScript.server.tool()

Examples:

{ "name": "cursor_agent_raw", "arguments": { "argv": ["--help"], "print": false } }
{ "name": "cursor_agent_raw", "arguments": { "argv": ["-m","gpt-5","What is SIMD?"], "print": true } }

7) cursor_agent_run (legacy)

  • Args: { prompt: string, ...COMMON }
  • Behavior: Original single‑shot chat wrapper; maintained for compatibility.
  • Code path: JavaScript.server.tool()

Configuration for MCP hosts

Example Claude Code/Claude Desktop entry:

{ "mcpServers": { "cursor-agent": { "command": "node", "args": ["/abs/path/to/cursor-agent-mcp/server.js"], "env": { "CURSOR_AGENT_ECHO_PROMPT": "1", "CURSOR_AGENT_FORCE": "true", "CURSOR_AGENT_PATH": "/home/you/.local/bin/cursor-agent", "CURSOR_AGENT_MODEL": "gpt-5", "CURSOR_AGENT_IDLE_EXIT_MS": "0", "CURSOR_AGENT_TIMEOUT_MS": "60000" } } } }

Optional: enable debug logs

Add DEBUG_CURSOR_MCP=1 to print diagnostics to stderr (spawn argv, prompt preview, exit). Useful while integrating or troubleshooting.

{ "mcpServers": { "cursor-agent": { "command": "node", "args": ["/abs/path/to/cursor-agent-mcp/server.js"], "env": { "CURSOR_AGENT_ECHO_PROMPT": "1", "CURSOR_AGENT_FORCE": "true", "CURSOR_AGENT_PATH": "/home/you/.local/bin/cursor-agent", "CURSOR_AGENT_MODEL": "gpt-5", "CURSOR_AGENT_IDLE_EXIT_MS": "0", "CURSOR_AGENT_TIMEOUT_MS": "60000", "DEBUG_CURSOR_MCP": "1" } } } }

Note: many hosts don’t display server stderr logs. To see the effective prompt in the UI, use CURSOR_AGENT_ECHO_PROMPT=1 or pass "echo_prompt": true in tool arguments. Implementation points:

Environment variables understood by the server:

  • CURSOR_AGENT_PATH: absolute path to the cursor-agent binary; falls back to PATH
  • CURSOR_AGENT_MODEL: default model (appended as -m <model> unless you already provided one)
  • CURSOR_AGENT_FORCE: "true"/"1" to inject -f unless already present
  • CURSOR_AGENT_TIMEOUT_MS: hard runtime ceiling (default 30000)
  • CURSOR_AGENT_IDLE_EXIT_MS: idle‑kill threshold in ms; "0" disables idle kill (recommended)
  • CURSOR_AGENT_ECHO_PROMPT: "1" to prepend the effective prompt to the tool’s result
  • DEBUG_CURSOR_MCP: "1" to log spawn/exit diagnostics to stderr

Usage inside Claude

  • Call any of the tools described above; arguments map 1:1 to the JSON fields in “Tools” section.
  • To see the exact prompt, either set CURSOR_AGENT_ECHO_PROMPT=1 globally or pass "echo_prompt": true in the tool call.
  • For advanced use, prefer cursor_agent_raw for precise control of argv and print behavior.

Troubleshooting

  • “cursor-agent not found”
    • Set CURSOR_AGENT_PATH to the absolute path of the CLI or ensure it’s on PATH.
  • “No prompt provided for print mode”
    • You called RAW with print=true but without a prompt. Either provide a prompt in argv or set print=false.
  • Premature termination mid‑generation
    • Increase CURSOR_AGENT_TIMEOUT_MS, and keep CURSOR_AGENT_IDLE_EXIT_MS at "0".
  • Empty tool output
    • Verify provider credentials and model name. Try cursor_agent_raw with argv: ["--version"] to confirm CLI health.

Development

  • Start the server directly:
    • node ./cursor-agent-mcp/server.js
  • Smoke client:
    • node ./cursor-agent-mcp/test_client.mjs "hello"
    • TEST_TOOL=cursor_agent_raw TEST_ARGV='["--help"]' node ./cursor-agent-mcp/test_client.mjs
  • Useful env while developing:
    • DEBUG_CURSOR_MCP=1 CURSOR_AGENT_ECHO_PROMPT=1

Key entry points:

Security notes

  • Child processes are spawned with shell: false to avoid shell injection and quoting issues.
  • Inputs are validated with Zod; unknown types are rejected.
  • Avoid logging secrets; DEBUG only prints argv and minimal env context.

Versioning

Current server version: 1.1.0 (see cursor-agent-mcp/package.json)

License

MIT (see cursor-agent-mcp/package.json)

Acknowledgements

  • MCP protocol and SDK by the Model Context Protocol team
  • Inspiration: multi‑verb MCP servers such as gemini‑mcp‑tool
Install Server
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security - not tested
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license - not found
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quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Enables cost-effective repository analysis, code search, file editing, and task planning by wrapping the cursor-agent CLI through focused tools. Reduces token usage by offloading heavy thinking tasks from Claude to specialized operations with configurable output formats.

  1. Purpose: reduce token usage and cost in Claude Code
    1. Cost‑control tips
  2. Features
    1. Requirements
      1. Installation
        1. Do I need npx?
      2. Quick smoke test (without an MCP host)
        1. How it works
          1. Tools
            1. 1. cursor_agent_chat
            2. 2. cursor_agent_edit_file
            3. 3. cursor_agent_analyze_files
            4. 4. cursor_agent_search_repo
            5. 5. cursor_agent_plan_task
            6. 6. cursor_agent_raw
            7. 7. cursor_agent_run (legacy)
          2. Configuration for MCP hosts
            1. Optional: enable debug logs
          3. Usage inside Claude
            1. Troubleshooting
              1. Development
                1. Security notes
                  1. Versioning
                    1. License
                      1. Acknowledgements

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