notion-mcp-server
MCP ServerFreeOfficial Notion MCP Server
Capabilities12 decomposed
openapi-driven dynamic mcp tool generation
Medium confidenceAutomatically converts Notion's OpenAPI specification (notion-openapi.json) into MCP-compliant tool definitions at server startup, eliminating manual tool definition maintenance. The system parses the OpenAPI schema, extracts operation metadata (parameters, request/response types), and generates tool schemas that MCP clients can discover via the listTools protocol method. This approach ensures the entire Notion API surface is immediately available without hardcoding individual operations.
Uses OpenAPI specification as the single source of truth for tool definitions, parsing at startup and generating MCP schemas programmatically rather than maintaining hardcoded tool registries. This eliminates the manual tool definition burden that plagues most MCP server implementations.
Faster to maintain than hand-coded MCP servers (no tool definition drift) and more complete than selective API wrappers (exposes entire Notion API surface automatically)
mcp protocol translation layer (listtools and calltool)
Medium confidenceImplements the MCPProxy class that translates between MCP's standardized tool interface (listTools for discovery, callTool for execution) and Notion's REST API operations. The proxy intercepts MCP requests, maps tool invocations to OpenAPI operation definitions, constructs HTTP requests with proper parameter binding, and marshals responses back into MCP-compatible formats. This abstraction decouples the MCP protocol from underlying API implementation details.
Centralizes protocol translation in MCPProxy class that implements MCP server interface directly, handling both tool discovery and execution through a unified abstraction. This pattern allows clean separation between protocol concerns and API client logic.
More maintainable than scattered protocol handling across multiple files, and more flexible than hardcoded tool definitions since it works with any OpenAPI spec
docker and npm deployment packaging
Medium confidenceProvides two deployment mechanisms: Docker containerization (Dockerfile with Node.js runtime) and NPM package distribution (published to npm registry). The Docker deployment bundles the server with all dependencies and environment variable configuration, while NPM deployment allows installation via `npm install` or `npx` for local development and testing. Both deployment methods expose the same CLI interface and support identical configuration through environment variables and command-line arguments.
Provides dual deployment paths (Docker and NPM) from single codebase, with identical CLI interface and configuration across both. This approach maximizes flexibility for different deployment contexts without code duplication.
More flexible than Docker-only servers (supports local development) and more portable than NPM-only (supports containerized production deployments)
notion api scope and permission enforcement
Medium confidenceRespects Notion API permission model by executing operations only with the scope granted to the authentication token. The server does not implement additional authorization logic — all permission enforcement is delegated to Notion API, which returns 403 Forbidden for operations outside the token's scope. This design ensures the server cannot grant broader access than the token allows and maintains security boundaries defined by Notion workspace administrators.
Delegates all permission enforcement to Notion API rather than implementing custom authorization logic, ensuring the server respects workspace-level access controls without adding complexity. This approach maintains the security model defined by Notion administrators.
Simpler than custom authorization (no additional logic) and more secure than permissive servers (respects underlying API boundaries)
dual transport support (stdio and http)
Medium confidenceProvides two independent transport mechanisms for MCP communication: STDIO for desktop AI clients (Claude Desktop, Cursor, Zed) and HTTP for web-based applications. The server initializes the appropriate transport based on CLI arguments, using MCP SDK's transport abstractions to handle protocol framing, message serialization, and connection lifecycle. Both transports implement the same MCP server interface, allowing identical tool definitions and behavior across deployment contexts.
Abstracts transport selection through CLI arguments and MCP SDK's transport layer, allowing identical server code to run in both STDIO (desktop) and HTTP (web) contexts without conditional logic. This is achieved through the MCP SDK's transport abstraction pattern rather than custom transport implementations.
More flexible than single-transport servers (supports both desktop and web clients), and cleaner than servers with embedded transport logic since it delegates to MCP SDK abstractions
stateless http client with notion api authentication
Medium confidenceImplements an HttpClient that constructs and executes HTTP requests to the Notion API with automatic authentication header injection (NOTION_API_KEY from environment). Each tool invocation triggers a new HTTP request with parameters bound from MCP tool arguments, request/response bodies serialized as JSON, and proper Content-Type headers. The client handles URL construction from OpenAPI operation definitions, parameter placement (query, path, body), and response parsing without maintaining connection state or request history.
Implements stateless HTTP client that derives request structure entirely from OpenAPI operation definitions, with no hardcoded endpoints or parameter handling. Authentication is injected from environment variables, making the client portable across deployment contexts without credential management logic.
Simpler than SDK-based clients (no dependency on Notion SDK) and more maintainable than hardcoded HTTP calls since request structure comes from OpenAPI spec
openapi to mcp schema conversion
Medium confidenceTransforms OpenAPI operation definitions into MCP-compatible tool schemas by mapping OpenAPI parameters (query, path, body) to MCP's inputSchema format (JSON Schema). The conversion extracts operation metadata (operationId, summary, description), builds parameter schemas with proper type constraints and required field markers, and generates human-readable tool descriptions. This conversion happens at server startup and caches the result in the tool registry for discovery requests.
Implements bidirectional schema mapping from OpenAPI to MCP at startup, preserving parameter constraints and generating tool descriptions from API metadata. Unlike generic OpenAPI clients, this conversion is optimized for MCP's tool discovery and invocation model.
More complete than manual tool definition (captures entire API surface) and more accurate than generic OpenAPI-to-JSON-Schema converters (understands MCP constraints)
server initialization with cli argument parsing
Medium confidenceProvides a CLI entry point (bin/cli.mjs) that parses command-line arguments to configure server behavior: transport type (stdio or http), port (for HTTP), and authentication token. The startup process loads the OpenAPI specification, initializes MCPProxy with converted tool definitions, creates the appropriate transport, and starts the MCP server. This initialization is synchronous and happens once per server lifetime, with all configuration derived from CLI arguments and environment variables.
Centralizes server initialization in a single CLI entry point that orchestrates OpenAPI loading, MCPProxy creation, and transport setup. This pattern makes the server easy to deploy across different contexts (Docker, NPM, local development) without code changes.
Simpler than configuration file-based servers (fewer moving parts) and more flexible than hardcoded initialization (supports both STDIO and HTTP without code changes)
request parameter binding from mcp tool arguments
Medium confidenceMaps MCP tool invocation arguments to Notion API request parameters by matching argument names to OpenAPI parameter definitions and placing them in the correct location (query string, URL path, request body). The binding process validates that required parameters are present, coerces types according to OpenAPI schema, and constructs the final HTTP request. This happens for every tool invocation and ensures parameter values from MCP clients reach the Notion API in the correct format.
Implements parameter binding by reading OpenAPI operation definitions at runtime, placing parameters in the correct HTTP location (query, path, body) without hardcoded logic. This approach works for any OpenAPI spec without modification.
More flexible than SDK-based clients (works with any REST API via OpenAPI) and more maintainable than hardcoded parameter handling (derives structure from spec)
response marshaling from notion api to mcp format
Medium confidenceConverts Notion API HTTP responses (JSON bodies, status codes, headers) into MCP-compatible result objects that clients can consume. The marshaling process parses JSON response bodies, extracts relevant data fields, handles error responses by mapping HTTP status codes to MCP error formats, and structures the result according to MCP callTool response schema. This happens synchronously after each HTTP request and ensures API responses are presented consistently to MCP clients.
Implements response marshaling that maps HTTP status codes to MCP error formats, preserving Notion API response structure while adapting to MCP's result schema. This abstraction decouples API response format from MCP protocol requirements.
More robust than pass-through responses (handles errors gracefully) and more maintainable than hardcoded response parsing (derives structure from OpenAPI)
tool registry and discovery caching
Medium confidenceMaintains an in-memory registry of MCP tools generated from OpenAPI operations, populated once at server startup and served to clients via the listTools protocol method. The registry is indexed by tool name (derived from operationId) and contains complete tool schemas (name, description, inputSchema). This caching approach eliminates repeated OpenAPI parsing and schema conversion, making tool discovery fast and consistent across client requests.
Implements a simple in-memory registry that caches OpenAPI-derived tool definitions, populated once at startup and served directly to clients. This approach trades dynamic updates for fast discovery and minimal memory overhead.
Faster than on-demand tool generation (no per-request OpenAPI parsing) and simpler than distributed caching (no external dependencies)
environment-based authentication token management
Medium confidenceManages Notion API authentication through the NOTION_API_KEY environment variable, injected into every HTTP request as an Authorization header. The token is loaded once at server startup and reused for all subsequent API calls without refresh logic. This approach is stateless and portable across deployment contexts (Docker, NPM, local development) but requires the token to remain valid for the entire server lifetime.
Implements simple environment-based authentication that requires no credential management logic, making the server portable across deployment contexts. Token is injected at startup and reused for all requests without refresh handling.
Simpler than OAuth-based authentication (no token refresh) and more portable than hardcoded credentials (supports environment variable injection)
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI client developers integrating with Notion (Claude Desktop, Cursor, Zed)
- ✓Teams building custom MCP servers that need to bridge REST APIs to MCP protocol
- ✓Organizations wanting zero-maintenance API exposure through MCP
- ✓MCP client developers building integrations with Notion
- ✓Framework developers creating MCP servers that bridge multiple REST APIs
- ✓Teams standardizing on MCP for AI agent tool access
- ✓DevOps teams deploying MCP servers to Kubernetes or Docker Compose
- ✓Developers installing MCP server locally for testing with AI clients
Known Limitations
- ⚠OpenAPI spec must be valid and complete — malformed specs will fail at startup
- ⚠Tool generation happens once at server initialization — runtime API changes require server restart
- ⚠Complex OpenAPI features (discriminators, polymorphism) may not translate perfectly to MCP schema constraints
- ⚠No filtering or selective tool exposure — all OpenAPI operations become available tools
- ⚠Stateless operation — no session management or request correlation across tool calls
- ⚠Error responses from Notion API are mapped to MCP error format, potentially losing API-specific error details
Requirements
Input / Output
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Repository Details
Last commit: Mar 18, 2026
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