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MCP Client Openai

@njcx

Basic information

Category

AI & Agents

Transports

stdio

Author

njcx

About MCP Client Openai

本项目实现了一个兼容 OpenAI API 格式的 MCP-Client服务,允许通过标准的 OpenAI API 接口与本地 MCP-Server进行交互。

MCP Client Openai config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Client Openai tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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Overview

What is Mcp Client Openai?

Mcp Client Openai is a Model Control Protocol (MCP) client service that exposes a compatible OpenAI API format, enabling standard OpenAI API calls to interact with local MCP models.

How to use Mcp Client Openai?

Start the OpenAI API server with python main-api.py, or launch the stdio CLI with python cli.py for testing. Edit mcp-server-config.json to configure the MCP server (stdio or SSE) and the LLM endpoint (any OpenAI API that supports function calls/tool calling).

Key features of Mcp Client Openai

  • Exposes local MCP models via OpenAI API format.
  • Supports both stdio and SSE MCP server transports.
  • Compatible with any LLM API that supports function calling.
  • Provides a CLI mode for testing purposes.

Use cases of Mcp Client Openai

  • Integrate local MCP models into applications built for the OpenAI API.
  • Test MCP server interactions using standard OpenAI tool calling.
  • Bridge between OpenAI‑compatible clients and custom MCP backends.

Frequently asked questions

1

What MCP server transports are supported?

stdio and SSE.

2

Does the LLM require specific capabilities?

Yes, the LLM must support function calling (tool calls) as per OpenAI API format.

3

How do I configure the MCP server?

Modify the `mcp-server-config.json` file; set the transport type to `stdio` or `sse` and provide appropriate server details.

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