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MCP pour OpenAI et Claude

@Spysailor

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Spysailor

关于 MCP pour OpenAI et Claude

Implementation of OpenAI MCP Server

MCP pour OpenAI et Claude 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

MCP pour OpenAI et Claude 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP pour OpenAI et Claude?

A simple server that acts as a Master Control Program (MCP) for interacting with AI models from OpenAI and Anthropic (Claude).

How to use MCP pour OpenAI et Claude?

Clone the repository, install dependencies with npm install, configure your API keys in a .env file based on .env.example, then start the server with npm start. The server runs on http://localhost:3000 and exposes unified and provider-specific API endpoints.

Key features of MCP pour OpenAI et Claude

  • Unified API endpoint with automatic provider detection.
  • Provider-specific endpoints for OpenAI and Claude.
  • Supports multiple OpenAI and Claude models.
  • Configurable prompt, model, maxTokens, and provider.
  • Includes a simple web test interface (test-mcp.html).

Use cases of MCP pour OpenAI et Claude

  • Interact with OpenAI or Claude models through a single API.
  • Automatically route requests to the correct AI provider based on model name.
  • Build applications that need to switch between GPT-4 and Claude models.
  • Test and compare responses from different AI models easily.

常见问题

1

What models are supported?

OpenAI models include gpt-4, gpt-4-turbo, gpt-3.5-turbo, and others. Claude models include claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-haiku-20240307, and others.

2

How do I configure my API keys?

Copy `.env.example` to `.env` and edit the file to add your `OPENAI_API_KEY` and `ANTHROPIC_API_KEY` values. The server reads these environment variables on startup.

3

What endpoints does the server provide?

Three endpoints: `POST /api/mcp` (unified, auto-detects provider), `POST /api/mcp/openai` (always OpenAI), and `POST /api/mcp/claude` (always Claude). All accept a JSON body with `prompt`, `model`, `maxTokens`, and `provider` parameters.

4

How do I choose between OpenAI and Claude?

Set the `provider` field to `"openai"`, `"claude"`, or `"auto"` (default) in your request. Alternatively, use the provider-specific endpoints `/api/mcp/openai` or `/api/mcp/claude`.

5

Is there a test interface included?

Yes, a simple web test page is included at `test-mcp.html`. Open it in your browser to test the MCP without writing additional code.

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