将任何GraphQL端点转变为一套MCP工具
概览
是一个轻量级代理,将 GraphQL 操作作为模型上下文协议(MCP)工具,面向 Claude、Cursor 和 ChatGPT 的 AI。在你的 GraphQL 后端定义使用常规 GraphQL 查询/变异的工具,gqai 会自动为你生成 MCP 服务器。 🔌 由你的GraphQL后端⚙️驱动,由.graphqlrc.yml+纯.graphql文件驱动 - 🧰 使用 GraphQL 操作定义工具 - 🗂 自动发现 .graphqlrc.yml 操作 - 🧾 工具元数据兼容 OpenAI 函数调用 / MCP 这个文件告诉 gqai 在哪里找到你的 GraphQL 模式和操作。 注意:模式参数告诉 gqai 执行操作的位置。这必须是实时服务器,而非静态模式文件 就是这样!你的AI模型现在可以调用get_all_films工具了。 GraphQL 配置文件是一个 YAML 文件,定义了 GraphQL 端点和你想作为工具公开的操作。它应该命名为 .graphqlrc.yml,并放在项目根节点。
概述(AI 翻译)
GraphQL → ai
gqai 是一个轻量级代理,可以将 GraphQL 操作暴露为 模型上下文协议(MCP)用于人工智能的工具,如 Claude、光标和ChatGPT。 在你的GraphQL后端定义使用常规GraphQL查询/变异的工具,并自动生成gqai。 为你生成一个MCP服务器。
🔌 由你的GraphQL后端驱动
⚙️ 由 .graphqlrc.yml + 普通 .graphql 文件驱动
✨ 特色
- 🧰 定义使用GraphQL操作的工具
- 🗂 自动发现来自
.graphqlrc.yml的操作。 - 🧾 与OpenAI函数调用/MCP兼容的工具元数据
🛠️ 安装
🚀 快速启动
- 创建.graphqlrc.yml:
这个文件告诉 gqai 在哪里找到你的 GraphQL 模式和操作。
注意:schema 参数指示 gqai 执行操作的位置。这必须是实时服务器,而非静态模式文件
- 添加GraphQL操作
get_all_films.graphql:
- 将 gqai 添加到你的
mcp.json文件中:
就是这样!你的AI模型现在可以调用get_all_films工具。
用途
配置
GraphQL 配置
GraphQL 配置 file 是一个定义 GraphQL 端点及其操作的 YAML 文件 你想把它当作工具来揭露。
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
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
- 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
- Add a GraphQL operation
get_all_films.graphql:
# Get all Star Wars films
query get_all_films {
allFilms {
films {
title
episodeID
}
}
}
- Add gqai to your
mcp.jsonfile:
"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: .
Using Environment Variables in Headers
You can reference environment variables in header values using the ${VARNAME} syntax. For example:
schema:
- https://graphql.org/graphql/:
headers:
Authorization: Bearer ${MY_AUTH_TOKEN}
documents: .
You can also provide a default value using the ${VARNAME:-default} syntax:
schema:
- https://graphql.org/graphql/:
headers:
Authorization: Bearer ${MY_AUTH_TOKEN:-default-token}
documents: .
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →