gqaiTurn any GraphQL endpoint into a set of MCP tools

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

gqai is a lightweight proxy that exposes GraphQL operations as Model Context Protocol (MCP) tools for AI models like Claude, Cursor, and ChatGPT. It allows users to define tools using regular GraphQL queries and mutations against their GraphQL backend, and automatically generates an MCP server. The tool is configured using a .graphqlrc.yml file and plain .graphql files, and supports features like tool metadata compatible with OpenAI function calling and MCP.

Key features

Define tools using GraphQL operations
Automatically discover operations from .graphqlrc.yml
Tool metadata compatible with OpenAI function calling / MCP
Support for headers and environment variables in configuration

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Exposing GraphQL tools to AI models

Use gqai to expose GraphQL operations as MCP tools for AI models like Claude, Cursor, and ChatGPT.

Simplifying GraphQL integration with AI

gqai simplifies the process of integrating GraphQL backends with AI models, allowing for easier development of AI-powered applications.

Pros & Cons

Pros

Easy integration with GraphQL backends
Automatic generation of MCP server
Support for OpenAI function calling and MCP

Cons

Requires a GraphQL backend to function
Configuration can be complex for advanced use cases

Reviews

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Q&A

What is the typical setup process to expose a GraphQL query as an MCP tool?

Create a .graphqlrc.yml pointing to your schema URL and the directory of .graphql files, add the desired query or mutation in a .graphql file, then reference gqai in your mcp.json with the command "gqai" and args "run config .graphqlrc.yml"; the MCP server is generated automatically.

Asked by Vasyl Kovalenko · May 29, 2026

Can the tools generated by gqai be used with OpenAI function calling?

Yes, gqai produces tool metadata that is compatible with OpenAI function calling as well as the Model Context Protocol (MCP), allowing AI models like Claude, Cursor, and ChatGPT to invoke them.

Asked by Margaret Whitfield · May 8, 2026

How do I configure authentication headers for my GraphQL endpoint in gqai?

In the .graphqlrc.yml file you can add a headers section where you specify static values or reference environment variables using the {VARNAME} syntax, e.g., Authorization: Bearer {MY_AUTH_TOKEN}.

Asked by Boris Yankov · Mar 22, 2026

What kind of backend does gqai require to work?

gqai requires a live GraphQL endpoint as its backend; it cannot operate with a static schema file and must be able to execute the defined queries and mutations.

Asked by Grace Okafor · Mar 6, 2026