@iflow-mcp/cursor-mcp
MCP ServerFree[](https://smithery.ai/server/cursor-mcp-tool)
Capabilities6 decomposed
mcp server protocol implementation for cursor ide
Medium confidenceImplements the Model Context Protocol (MCP) server specification to enable bidirectional communication between Cursor IDE and external tools/services. Uses a standardized JSON-RPC 2.0 message transport layer over stdio or HTTP to expose tools, resources, and prompts that Cursor can invoke. Handles request/response routing, error serialization, and capability negotiation during the MCP handshake phase.
Purpose-built MCP server implementation specifically optimized for Cursor IDE's integration patterns, likely including Cursor-specific resource types or tool schemas that other generic MCP servers don't expose
More tightly integrated with Cursor's native capabilities than generic MCP servers, potentially offering better performance and feature parity with Cursor's built-in tools
tool schema definition and registration
Medium confidenceProvides a declarative schema system for defining custom tools that Cursor can discover and invoke. Tools are registered with JSON schemas describing input parameters, output types, and descriptions. The server maintains a tool registry that responds to MCP's tools/list and tools/call requests, validating incoming tool invocations against their schemas before execution.
Integrates Cursor-specific tool discovery mechanisms that allow IDE-native tool browsing and parameter hints, rather than generic JSON-RPC tool exposure
Tighter integration with Cursor's UI for tool discovery compared to raw MCP servers that expose tools as generic JSON endpoints
resource exposure and streaming
Medium confidenceExposes local files, remote APIs, or computed data as MCP resources that Cursor can read and reference. Resources are identified by URIs and can be streamed in chunks for large payloads. The server implements the resources/list and resources/read MCP endpoints, handling URI resolution, access control, and content serialization (text, binary, or structured data).
Implements MCP resource streaming with Cursor-aware URI schemes that map to IDE concepts like workspace roots, file references, and editor state
Provides streaming support for large resources where simpler MCP implementations would require loading entire payloads into memory
prompt template management and execution
Medium confidenceManages reusable prompt templates that Cursor can invoke to generate structured outputs or perform complex reasoning tasks. Templates are stored with variable placeholders, and the server implements the prompts/list and prompts/get MCP endpoints. Supports template composition, variable substitution, and optional LLM execution hooks for dynamic prompt generation.
Integrates with Cursor's native prompt execution engine, allowing templates to be invoked directly from the IDE with automatic context injection from the current editor state
Tighter integration with Cursor's LLM backend compared to generic prompt management tools that require manual context passing
error handling and request validation
Medium confidenceImplements comprehensive error handling for MCP protocol violations, invalid tool invocations, and runtime failures. Uses JSON-RPC 2.0 error response format with standardized error codes and messages. Validates incoming requests against tool schemas before execution, providing detailed error feedback to Cursor for debugging and user guidance.
Implements Cursor-aware error formatting that maps JSON-RPC errors to IDE-native error display, with context-aware suggestions for fixing common issues
Better error UX than raw MCP servers by integrating with Cursor's error display and suggestion systems
server lifecycle management and capability negotiation
Medium confidenceHandles MCP server initialization, capability advertisement, and graceful shutdown. Implements the initialize and shutdown MCP protocol phases, advertising supported tool types, resource types, and prompt templates during handshake. Manages server state transitions and connection lifecycle, including reconnection handling and resource cleanup on shutdown.
Implements Cursor-specific capability advertisement that includes IDE-native features like editor context access and workspace-aware resource discovery
More complete lifecycle management than minimal MCP implementations, with built-in support for Cursor's specific initialization requirements
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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example-remote-server
A hosted version of the Everything server - for demonstration and testing purposes, hosted at https://example-server.modelcontextprotocol.io/mcp
Best For
- ✓Cursor IDE users extending functionality with custom tools
- ✓Tool developers building MCP-compatible integrations
- ✓Teams standardizing on MCP for IDE tooling across multiple editors
- ✓Developers building custom integrations for Cursor
- ✓Teams standardizing tool definitions across multiple projects
- ✓Tool authors who want schema-driven validation and discovery
- ✓Developers integrating external data sources into Cursor workflows
- ✓Teams managing large codebases that need selective file exposure
Known Limitations
- ⚠Requires Cursor IDE with MCP support enabled — not compatible with VS Code or other editors without MCP implementation
- ⚠No built-in persistence or state management — stateless request/response model requires external storage for session data
- ⚠Limited to tools/resources exposed via MCP schema — cannot directly access Cursor's internal editor state or file system without explicit resource definitions
- ⚠Schema validation is JSON Schema only — no support for complex validation logic or conditional schemas
- ⚠Tool definitions are static at server startup — dynamic tool registration requires server restart
- ⚠No built-in versioning for tool schemas — breaking changes require manual client updates
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Package Details
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[](https://smithery.ai/server/cursor-mcp-tool)
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