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MCP Graphql Forge

@toolprint

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

toolprint

提交者

Achintya Ashok

关于 MCP Graphql Forge

暂无概览

#mcp-graphql#graphql-api#ai-tools

MCP Graphql Forge 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-graphql-forge": {
      "command": "npx",
      "args": [
        "-y",
        "@toolprint/mcp-graphql-forge"
      ],
      "env": {
        "GRAPHQL_ENDPOINT": "https://your-api.com/graphql",
        "GRAPHQL_AUTH_HEADER": "Bearer YOUR_TOKEN"
      }
    }
  }
}

MCP Graphql Forge 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is MCP GraphQL Forge?

MCP GraphQL Forge is an MCP server that automatically generates MCP tools from any GraphQL API schema via introspection, enabling AI assistants like Claude or Cursor to interact with GraphQL APIs. It handles parameter validation, field selection caching, and supports both stdio and HTTP transports.

How to use MCP GraphQL Forge?

Install via npx -y @toolprint/mcp-graphql-forge or with Smithery. Set the GRAPHQL_ENDPOINT environment variable (and optionally GRAPHQL_AUTH_HEADER for authentication). Run in stdio mode (default) for direct AI integration, or use --transport http --port 3001 for development/testing.

Key features of MCP GraphQL Forge

  • Auto-generates MCP tools from GraphQL schema introspection
  • Validates parameters to prevent GraphQL errors
  • Supports stdio and HTTP transports
  • Caches schema and field selections for performance
  • Flexible authentication via environment variables
  • Handles circular references in field selections

Use cases of MCP GraphQL Forge

  • Connect AI assistants to a Strapi CMS GraphQL API
  • Enable Claude or Cursor to query GitHub’s GraphQL API
  • Integrate AI tools with e‑commerce GraphQL APIs like Shopify
  • Allow natural language queries against any GraphQL endpoint

常见问题

1

What does it do that a raw GraphQL client does not?

It automatically generates MCP tools from schema introspection, so AI assistants can interact with any GraphQL API without manually writing queries or handling field selection.

2

What are the runtime dependencies?

Requires Node.js with the TypeScript runtime. Docker runtime support is currently a work in progress.

3

How does authentication work?

Set the `GRAPHQL_AUTH_HEADER` environment variable for a Bearer token, or use `GRAPHQL_HEADER_*` variables for custom headers.

4

What transports are supported?

The server supports both stdio (for direct AI tool integration) and HTTP (for development/testing with the MCP Inspector).

5

Does it cache the schema?

Yes. It caches schema and field selections for consistent performance, and you can pre-generate the schema or force regeneration with CLI options.

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