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gqai

by fotoetienne
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MIT License
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Integrations

  • Exposes GraphQL operations from any GraphQL backend as MCP tools, allowing AI agents to execute queries and mutations against GraphQL APIs using the operations defined in .graphql files.

  • Allows ChatGPT to utilize GraphQL operations as tools through OpenAI's function calling capability, enabling interaction with any GraphQL API.

gqai

graphql → ai

gqai is a lightweight proxy that exposes GraphQL operations as Model Context Protocol (MCP) tools for AI like Claude, Cursor, and ChatGPT.
Define tools using regular GraphQL queries/mutations against your GraphQL backend, and gqai automatically generates an MCP server for you.

🔌 Powered by your GraphQL backend
⚙️ Driven by .graphqlrc.yml + plain .graphql files

✨ Features

  • 🧰 Define tools using GraphQL operations
  • 🗂 Automatically discover operations from .graphqlrc.yml
  • 🧾 Tool metadata compatible with OpenAI function calling / MCP

🛠️ Installation

go install github.com/fotoetienne/gqai@latest

🚀 Quick Start

  1. Create a .graphqlrc.yml:
schema: https://graphql.org/graphql/ documents: .

This file tells gqai where to find your GraphQL schema and operations.

Note: The schema parameter tells gqai where to execute the operations. This must be a live server rather than a static schema file

  1. Add a GraphQL operation

get_all_films.graphql:

# Get all Star Wars films query get_all_films { allFilms { films { title episodeID } } }
  1. Add gqai to your mcp.json file:
"gqai": { "command": "gqai", "args": [ "run", "--config" ".graphqlrc.yml" ] }

That's it! Your AI model can now call the get_all_films tool.

Usage

Configuration

GraphQL Config

The graphql config file is a YAML file that defines the GraphQL endpoint and the operations you want to expose as tools. It should be named .graphqlrc.yml and placed in the root of your project.

schema: https://graphql.org/graphql/ documents: operations

The schema field specifies the GraphQL endpoint, and the documents field specifies the directory where your GraphQL operations are located.

In this example, the operations directory contains all the GraphQL operations you want to expose as tools. Operations are defined in .graphql files, and gqai will automatically discover them.

Headers

You can also specify headers to be sent with each request to the GraphQL endpoint. This is useful for authentication or other custom headers.

schema: - https://graphql.org/graphql/: headers: Authorization: Bearer YOUR_TOKEN X-Custom-Header: CustomValue documents: .
MCP Configuration
Claude Desktop

To use gqai with Claude Desktop, you need to add the following configuration to your mcp.json file:

{ "gqai": { "command": "gqai", "args": [ "run", "--config", ".graphqlrc.yml" ] } }

🧪 CLI Testing

Call a tool via CLI to test:
gqai tools/call get_all_films

This will execute the get_all_films tool and print the result.

{ "data": { "allFilms": { "films": [ { "id": 4, "title": "A New Hope" }, { "id": 5, "title": "The Empire Strikes Back" }, { "id": 6, "title": "Return of the Jedi" }, ... ] } } }
Call a tool with arguments:

Create a GraphQL operation that takes arguments, and these will be the tool inputs:

get_film_by_id.graphql:

query get_film_by_id($id: ID!) { film(filmID: $id) { episodeID title director releaseDate } }

Call the tool with arguments:

gqai tools/call get_film_by_id '{"id": "1"}'

This will execute the get_film_by_id tool with the provided arguments.

{ "data": { "film": { "episodeID": 1, "title": "A New Hope", "director": "George Lucas", "releaseDate": "1977-05-25" } } }

Development

Prerequisites

  • Go 1.20+

Build

go build -o gqai main.go

Test

go test ./...

Format

go fmt ./...

Run MCP server

./gqai run --config .graphqlrc.yml

Run CLI

./gqai tools/call get_all_films

About GQAI

🤖 Why gqai?

gqai makes it easy to turn your GraphQL backend into a model-ready tool layer — no code, no extra infra. Just define your operations and let AI call them.

📜 License

MIT — fork it, build on it, all the things.

👋 Author

Made with ❤️ and 🤖vibes by Stephen Spalding && <your-name-here>

This server cannot be installed

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security - not tested
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license - permissive license
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remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

gqai

  1. ✨ Features
    1. 🛠️ Installation
      1. 🚀 Quick Start
        1. Usage
          1. Configuration
          2. 🧪 CLI Testing
        2. Development
          1. Prerequisites
          2. Build
          3. Test
          4. Format
          5. Run MCP server
          6. Run CLI
        3. About GQAI
          1. 🤖 Why gqai?
          2. 📜 License
          3. 👋 Author

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