GraphQL MCP Server

GraphQL MCP Server

The GraphQL MCP Server transforms any GraphQL endpoint into a first‑class tool for Claude and other AI assistants that understand the Model Context Protocol. By performing schema introspection at startup, it automatically surfaces every query, mutation, and subscription as a callable tool, eliminating the need for manual wrappers or SDK generation. This capability addresses a common pain point for developers: bridging the gap between rich, typed GraphQL APIs and conversational AI workflows without duplicating effort or sacrificing type safety.

At its core, the server is a strongly‑typed TypeScript implementation that adheres to the MCP specification. It accepts an arbitrary GraphQL URL, optionally authenticates with an API key, and then walks the schema to discover operations. Each operation becomes a tool with a name, description, and a JSON schema for its arguments. When Claude invokes the tool, the server crafts an efficient GraphQL query—selecting only requested fields and applying variables—to retrieve or mutate data. The result is returned as a JSON payload that Claude can seamlessly incorporate into its responses.

Key capabilities include:

• Dynamic operation discovery: No manual configuration is required; the server introspects the schema on launch and updates its tool list automatically.
• Full mutation support: Mutations are exposed with proper input handling, and can be toggled on or off for security.
• Query whitelisting: Developers can limit the exposed operations to a curated subset, reducing surface area and improving performance.
• Rich type handling: Input objects, lists, enums, and non‑null constraints are faithfully represented in the tool signatures.
• Authentication integration: A simple API key header can be supplied via environment variables, allowing secure access to protected GraphQL services.
• MCP compliance: The server outputs the exact JSON format expected by Claude Desktop, ensuring zero friction when adding it to a configuration.

Real‑world scenarios where this server shines include:

• Data retrieval for chatbots: A customer support bot can query product catalogs, order status, or FAQ databases directly through GraphQL tools.
• Automated reporting: An AI assistant can run complex analytics queries against a business intelligence GraphQL API and present summaries or visualizations.
• Workflow orchestration: Combined with other MCP servers, the GraphQL server can act as a data source in multi‑step reasoning chains, allowing Claude to fetch prerequisites before executing downstream actions.

Integration into an AI workflow is straightforward: once the server is running, its tools appear in Claude Desktop’s tool list. Developers can then instruct the assistant to “list all countries” or “update a user profile,” and Claude will translate that request into the corresponding GraphQL operation, handle authentication, and return the structured result. The strongly‑typed nature of the server guarantees that argument validation occurs before the request hits the external API, reducing runtime errors and improving developer confidence.

Overall, the GraphQL MCP Server offers a low‑overhead, type‑safe bridge between any GraphQL service and AI assistants. By automating tool generation, enforcing schema safety, and providing fine‑grained control over exposed operations, it empowers developers to enrich conversational experiences with powerful, data‑driven capabilities without the typical boilerplate or security concerns.