API to MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@API to MCPadd the user service with get user endpoint"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
API to MCP
把任意 REST API 端点快速转换成 MCP tools,让 AI 客户端(Cursor、Claude Desktop 等)直接调用你的内网服务。
快速开始
cd api-to-mcp
pip install -r requirements.txt
python main.py --port 8000Web UI: http://localhost:8000/ui
MCP 端点: http://localhost:8000/mcp
Related MCP server: API-to-MCP Converter
使用流程
打开配置页面,点击「添加服务」
填写服务名称、Base URL、请求头
点击「+ 端点」,配置方法、路径、参数、描述
点击「发送测试请求」验证 API 可达
测试通过后,点击「添加到 MCP」完成注册
MCP 客户端配置
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"my-api": {
"url": "http://your-server:8000/mcp"
}
}
}配置示例
services:
- name: "user-service"
base_url: "http://192.168.1.100:8080/api"
headers:
Authorization: "Bearer xxx"
endpoints:
- name: "get_user"
method: "GET"
path: "/users/{user_id}"
description: "根据用户ID获取用户信息"
parameters:
- name: "user_id"
type: "string"
required: true
location: "path"
verified: true架构
┌──────────────┐ ┌──────────────┐ ┌────────────────┐
│ Web UI (/ui)│────▶│ main.py │────▶│ FastMCP Server│
│ 配置/测试 │ │ loader.py │ │ /mcp (HTTP) │
└──────────────┘ │ http_client │ └────────────────┘
└──────────────┘ │
▼
MCP ClientThis server cannot be deployed
Maintenance
Related MCP Connectors
Zero-setup MCP gateway securely connecting AI to your tools with authentication and workflows
- QuallaaOAuthcom.quallaa
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
The OpenRouter for tools. One MCP connection gives any AI agent 254 hosted tools, pay per call.
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client.
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