Build with AI, not against it
Modern teams move fast. You’re building apps, internal tools, and AI-driven workflows that depend on data — but writing custom queries or building new endpoints every time someone has a question slows everything down.
MCP changes that. It lets developers — and AI agents — talk to your GraphQL APIs in plain language.
With Grafbase + MCP, you can
Accelerate development by letting tools like Cursor, Claude, or GPT-4 generate working GraphQL queries instantly
Empower your team to explore data and build insights without writing custom code
Enable AI use cases like natural language dashboards, agent-based testing, and intelligent autocomplete
Simplify your stack with built-in, secure, and configurable access to any federated schema
It's like giving your GraphQL API an AI-native layer — in one line of config.
Why MCP matters
Query with plain language
Let AI agents generate and run GraphQL queries against your schema — automatically.
No server setup required
Grafbase provisions and serves MCP endpoints for your GraphQL APIs with one config change.
Built for speed and scale
We index your schema and return only the most relevant fields for the prompt — enabling fast, context-aware responses.
Federated and secured
Use your existing federated GraphQL setup and authentication rules. We handle schema stitching, you get AI-ready endpoints.
Query with plain language
Let AI agents generate and run GraphQL queries against your schema — automatically.
No server setup required
Built for speed and scale
Federated and secured
What Grafbase’s MCP server exposes
Our implementation includes:
Search
Returns the most relevant subset of your schema in SDL format, based on your prompt. Uses an in-memory search index for speed and precision.
Introspect
Allows agents to explore individual types and fields in greater detail.
Execute
Executes real GraphQL queries. Grafbase injects helpful schema-aware error messages to guide agents in iterative improvements.
With these tools, your agent can work with your GraphQL API without bloating its context with the entire schema.
Secure by default
MCP support in Grafbase is designed to be safe in real-world production:
Authentication & authorization flows are respected
Mutations are disabled by default
You choose what’s discoverable and executable
Real-world use cases
Internal dashboards
Let teams ask complex data questions without writing GraphQL.
Federated data access
Give AI agents a unified schema across multiple services.
Embedded assistants
Build product features powered by GraphQL + LLMs — with zero API scaffolding.
Dev tools
Use Cursor or VS Code to autocomplete and test queries based on your live schema.