Apollo MCP Server – exposes GraphQL operations as MCP tools
https://github.com/apollographql/apollo-mcp-serverStop wrestling with custom integrations to connect your GraphQL APIs to AI models. Apollo's MCP Server transforms any GraphQL endpoint into MCP-compatible tools that AI assistants can use directly.
You've built solid GraphQL APIs, but when you want AI models to interact with them, you hit the same roadblocks:
Apollo MCP Server eliminates this friction by automatically exposing your GraphQL operations as standardized MCP tools.
Instant API Exposure: Point the server at your GraphQL endpoint, and every query and mutation becomes an available tool for AI models. No manual mapping required.
Schema-Aware Tool Generation: The server introspects your GraphQL schema and creates properly typed MCP tools with accurate parameter validation and response formatting.
Built-in GraphOS Integration: If you're using Apollo's platform, authentication and schema management happen automatically with your existing API keys.
Production-Ready Architecture: Written in Rust with proper error handling, metrics, health checks, and configurable logging.
AI-Powered Customer Support: Let AI assistants query your user database, fetch order history, and update support tickets through your existing GraphQL API without building custom integrations.
Automated Content Management: Enable AI models to create, update, and publish content through your CMS's GraphQL interface while respecting your existing permissions and validation rules.
Data Analysis Workflows: Give AI tools direct access to your analytics APIs so they can fetch metrics, generate reports, and answer business questions using real-time data.
Development Automation: Build AI assistants that can query your deployment status, trigger builds, or update feature flags through your internal GraphQL APIs.
The server runs as a standalone service that AI models connect to via the standardized MCP protocol. Your existing GraphQL APIs don't change - they just become instantly accessible to any MCP-compatible AI system.
# Start the server pointing to your GraphQL endpoint
export GRAPHOS_API_KEY="your-api-key"
apollo-mcp-server --port 4000
# AI models can now use your GraphQL operations as tools
For GraphOS Users: The integration is seamless. Your existing schema registry, authentication, and monitoring continue working exactly as before.
For Other GraphQL APIs: The server works with any GraphQL endpoint. Just configure the connection details and start exposing your operations.
MCP is becoming the standard protocol for AI tool integration. Instead of building one-off integrations for each AI platform, you get a single server that works with Claude, GPT, and any other MCP-compatible system.
Apollo's backing this with their full GraphQL expertise, so you're not betting on experimental tooling - you're using production-grade infrastructure from the team that built Apollo Client and Apollo Server.
The server installs from source with Cargo and runs anywhere Rust does. Docker images are available if you prefer containerized deployment.
Full documentation and examples are available at Apollo's official docs. The codebase is MIT licensed and actively maintained by the Apollo team.
If you're already using GraphQL APIs and want AI models to interact with them naturally, this server eliminates the integration complexity entirely. Your schemas become AI-accessible tools without changing a single line of existing code.