MCP Graphql, developed by Blurrah, is an mcp server tool built with TypeScript and running on Node.js. Distributed as an npm package, it enables Large Language Models and AI agents to interact with existing GraphQL APIs. This free tool acts as a vital bridge, connecting AI capabilities to structured data and operations exposed through GraphQL. It supports various AI clients, making it a versatile component for modern AI-driven applications.

What does MCP Graphql connect to?

MCP Graphql functions as a Model Context Protocol server, specifically designed to link AI agents with established GraphQL APIs. Its core purpose is to serve as an intermediary, allowing Large Language Models to send requests and receive data from GraphQL endpoints. This connection transforms GraphQL APIs into accessible resources for AI, enabling advanced interactions and data retrieval without direct AI-to-GraphQL integration.

Core features and tools

Blurrah's MCP Graphql offers key callable tools for AI interaction. The introspect-schema tool retrieves the full GraphQL schema from a connected API, providing AI agents with structural understanding. The query-graphql tool executes GraphQL queries against the configured endpoint. By default, mutations are not permitted through query-graphql, enhancing security unless the ALLOW_MUTATIONS environment variable is explicitly set to "true".

Who is it for?

This program is for developers creating AI coding assistants and teams aiming to integrate Large Language Models and AI agents with existing GraphQL APIs. It suits those needing AI to understand and interact with GraphQL schemas, generate queries, or debug API responses. Skip this if your project does not involve connecting AI agents to GraphQL APIs.

How to get started

The MCP service authenticates against the GraphQL server using methods like JWT tokens or API keys, passed as headers. Setup involves configuring environment variables such as ENDPOINT for the GraphQL API URL and HEADERS for authentication details. Interaction with the MCP Graphql server itself implies an HTTP-based transport protocol.

Use cases

• An AI agent can explore a GraphQL schema to understand available types and operations, then construct optimized queries.
• AI agents can execute complex GraphQL queries in real-time and assist in debugging response issues.
• Based on the live GraphQL schema, AI agents can suggest efficient queries and generate type-safe client code, such as TypeScript interfaces.

MCP Graphql by Blurrah provides a focused solution for integrating AI agents with GraphQL APIs. It offers essential tools for schema introspection and query execution, making GraphQL data accessible to LLMs. The program supports critical workflows for AI development, from query building to code generation.