OpenAPI to MCP Server

这是一个OpenAPI转换服务器，提供了以下功能：

将OpenAPI规范转换为MCP服务
支持http header透传
支持本地mcp 通用stdio使用方式、也支持docker部署为mcp server后通过streamable http方式使用

MCP 使用配置

本项目支持通过多种客户端配置 MCP 服务器，以便与各种 IDE 或工具集成。以下是一些常见客户端的配置示例：

Windsurf / Cursor / Claude

对于基于 Windsurf 框架的客户端（如 Cursor 和 Claude），您可以在 ~/.codeium/windsurf/mcp_config.json 文件中配置 MCP 服务器。以下是一个示例配置：

{
  "mcpServers": {
    "openapi2mcpserver": {
      "disabled": false,
      "command": "uvx",
      "args": [
        "openapi2mcpserver"
      ],
      "env": {
        "BASE_URL": "your_openapi3.0_host",
        "OPEN_API_DOC_JSON_URL": "your_openapi3.0_host doc  json url"
      }
    }
  }
}

请将 BASE_URL, OPEN_API_DOC_JSON_URL 替换为您的实际 OpenAPI 服务器地址和文档 JSON URL。

Cline

对于 Cline 客户端，您可以在其配置文件中添加类似的 MCP 服务器配置。具体的配置方式请参考 Cline 的官方文档。通常，您需要指定服务器的名称、命令、参数和环境变量。

// Cline 配置文件示例 (具体格式请参考 Cline 文档)
{
  "mcpServers": {
    "openapi2mcpserver": {
      "command": "uvx",
      "args": [
        "openapi2mcpserver"
      ],
      "env": {
        "BASE_URL": "your_openapi3.0_host",
        "OPEN_API_DOC_JSON_URL": "your_openapi3.0_host doc  json url"
      }
    }
  }
}

请将示例中的占位符替换为您的实际 OpenAPI 服务器地址和文档 JSON URL，并根据 Cline 的具体配置格式进行调整。

安装

克隆仓库
安装依赖：pip install -r requirements.txt
配置环境变量（参见下文）

配置

在项目根目录创建.env文件，包含以下环境变量：

BASE_URL=https://api.xxx.com
OPEN_API_DOC_JSON_URL=https://api.xxx.com/api/v3/api-docs/default

运行

使用uvx安装并运行（推荐）

uvx --from openapi2mcpserver

docker部署方式

docker run -d -p 9087:9087 -e BASE_URL=http://xxx.xx.xx.xxx:8044/xiaogj-ai-api -e OPEN_API_DOC_JSON_URL=http://xxx.xx.xx.xxx:8044/xiaogj-ai-api/v3/api-docs -e SERVER_NAME=OpenAPI2MCP-Docker-Server -e "ROUTE_MAPS=[{\"methods\":[\"GET\",\"POST\"],\"pattern\":\"^/tool/.*\"}]" jeweis/openapi2mcp:latest

说明

“xxx.xx.xx.xxx”需要换成本机ip
环境变量按实际需求配置

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

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.

A service that converts OpenAPI specifications into MCP tools, enabling AI assistants to interact with your API endpoints through natural language.

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