cursor-sdk-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cursor-sdk-mcp run a cursor agent to add error handling to src/api.ts"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
cursor-sdk-mcp
An MCP (Model Context Protocol) server that lets MCP clients such as Claude Code invoke the Cursor SDK and use Cursor Agent capabilities as tools for local and cloud coding workflows.
What it does
The server speaks MCP over stdio and exposes these tools:
Tool | Description |
| Verify the configured Cursor API key and return the authenticated identity. |
| List the Cursor models available to the account. |
| Compatibility alias for a local Cursor Agent run against one |
| Run a local Cursor Agent against one or more working directories with optional Cursor MCP settings, inline MCP servers, subagents, sandboxing, and auto-review. |
| Run a Cursor Cloud Agent in a Cursor-hosted or self-hosted environment, optionally cloning repos and creating PRs. |
| Continue a previous agent conversation by |
| Fetch agent metadata. |
| List runs for an agent. |
| Fetch one run by |
| Cancel one run by |
| List artifacts produced by an agent. |
| Download an artifact as base64 content. |
Under the hood it uses @cursor/sdk's local and cloud runtimes. Local agents read/write files on
disk from this Node process. Cloud agents run in Cursor-hosted or self-hosted environments and can
use Cursor account/team MCP configuration from cursor.com/agents.
Related MCP server: cursor-agent-bridge
Requirements
Node.js >= 22.13 (required by
@cursor/sdk).A Cursor API key. Create one at the Cursor Dashboard → API Keys (user key) or Team settings (service account key).
Install & build
npm install
npm run buildConfigure
Set your API key (see .env.example):
export CURSOR_API_KEY="your-cursor-api-key"
# Optional: default model id used when a tool call omits one (default: "auto")
export CURSOR_MCP_DEFAULT_MODEL="auto"Use with Claude Code
Register the server with Claude Code (stdio):
claude mcp add cursor-sdk -- node /absolute/path/to/cursor-sdk-mcp/dist/index.jsOr add it to your MCP client config manually:
{
"mcpServers": {
"cursor-sdk": {
"command": "node",
"args": ["/absolute/path/to/cursor-sdk-mcp/dist/index.js"],
"env": { "CURSOR_API_KEY": "your-cursor-api-key" }
}
}
}Then ask Claude Code to, for example, "use the cursor agent to refactor src/auth.ts", and it will
call cursor_run_local_agent or the compatibility cursor_run_agent.
Local agent usage
Use cursor_run_local_agent when the agent should work in local directories:
{
"prompt": "Refactor src/server.ts to split schemas into src/schemas.ts and run tests.",
"cwd": "/absolute/path/to/repo",
"model": "auto",
"mode": "agent",
"settingSources": ["project", "user", "plugins"],
"autoReview": true
}settingSources controls which Cursor MCP/settings layers the local runtime loads from disk. You can
also pass inline mcpServers, agents, and sandboxOptions for one-off tool wiring and safety.
For local cursor_follow_up, lifecycle, and artifact calls, pass the same cwd used to create the
agent so the SDK can find persisted local agent state.
Live progress and cancellation
cursor_run_agent, cursor_run_local_agent, cursor_run_cloud_agent, and cursor_follow_up run to
completion in a single tool call. Because a real coding run can take minutes, the server keeps the
call responsive:
Progress streaming. When the MCP client sends a
progressTokenwith the request (most clients do this automatically when you register a progress callback), the server streams each agent step — assistant text, tool calls, status changes — back asnotifications/progress. Clients that reset their request timeout on progress (setresetTimeoutOnProgress) won't time out on long runs, and the user sees what the agent is doing instead of a silent wait.Cancellation. If the client cancels the tool call (its
AbortSignalfires), the server cancels the underlying Cursor run, so you stop paying for work you no longer need.
Progress streaming is best-effort: if a client doesn't request progress, or the runtime doesn't support streaming, the tool still returns the same final result.
Cloud agent usage
Use cursor_run_cloud_agent when the agent should run in Cursor Cloud:
{
"prompt": "Add tests for the auth middleware and open a PR.",
"repos": [{ "url": "https://github.com/your-org/your-repo", "startingRef": "main" }],
"model": "auto",
"autoCreatePR": true
}repos can be omitted for an empty workspace or a named cloud environment. Cloud agents can use
inline MCP plus Cursor account/team MCP configured at cursor.com/agents. Use the lifecycle tools to
inspect runs, cancel work, and fetch artifacts.
Cursor MCP and skills strategy
Local agents use inline MCP unless
settingSourcesincludes project, user, or plugin settings.Local stdio MCP servers may include
cwd; cloud stdio MCP servers must not includecwd.Cloud agents use inline MCP plus user/team MCP from
cursor.com/agents.OAuth MCP must already be authorized in Cursor before local reuse.
Cursor skills can live in
.cursor/skills/,.agents/skills/,~/.cursor/skills/, or~/.agents/skills/.Claude Code skills are separate from this integration and are not loaded by Cursor Agent through this MCP server.
Development
npm run dev # run from source with hot reload (tsx)
npm run typecheck # type-check only
npm run lint # eslint
npm test # integration tests (fake Cursor backend, no network)
npm run demo # spawn the built server over stdio and call its tools
RUN_AGENT=1 npm run demo # additionally run a real Cursor Agent (needs CURSOR_API_KEY)How it's structured
src/cursor.ts—CursorServiceinterface +CursorSdkService(the@cursor/sdkwrapper).src/server.ts— builds theMcpServerand registers the tools. Decoupled from the SDK viaCursorServiceso tests can inject a fake backend.src/index.ts— entry point; wires the real service to aStdioServerTransport.tests/server.test.ts— connects an in-memory MCP client to the server and exercises every tool.examples/demo-client.ts— end-to-end demo over a real stdio transport.
License
MIT
Available Tools
4 toolscursor_follow_upCursor: follow upADestructive
Continue an existing Cursor Agent conversation by agentId with a new prompt. Conversation context from previous runs is loaded automatically.
Inputs: agentId (required), prompt (required), model.
cursor_list_modelsCursor: list modelsARead-only
List the Cursor models available to the configured account. Use the returned ids as the model argument for cursor_run_agent / cursor_follow_up.
Inputs: no named parameters.
cursor_run_agentCursor: run agentADestructive
Run a Cursor Agent (local runtime) against a working directory and return the final result. The agent can read, edit, and write files and run shell commands in cwd. Returns an agentId you can pass to cursor_follow_up to continue the same conversation.
Inputs: prompt (required), cwd (required), model, mode.
cursor_whoamiCursor: who am IARead-only
Verify the configured Cursor API key and return the authenticated account identity. Use this first to confirm authentication works before running an agent.
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 4 tools
Each tool serves a distinct purpose: authentication, model listing, starting an agent, and continuing a conversation. No overlap.
All tools use snake_case with a consistent 'cursor_' prefix and action-oriented verbs, forming a predictable pattern.
With 4 tools, the set covers the essential interactions (auth, model list, run, follow-up) without bloat or gaps.
The domain is well-covered for basic usage; missing an optional stop/status tool, but core workflows are complete.
Maintenance
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