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MCP Client

@kamusis

代码仓库

基本信息

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其他

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stdio

作者

kamusis

关于 MCP Client

A lightweight TypeScript client for the Model Context Protocol (MCP) that enables AI language models to access external tools and services.

#typescript#mcp#model-context-protocol#mcp-server#mcp-client

MCP Client 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-client-kamusis": {
      "command": "node",
      "args": [
        "build/index.js"
      ]
    }
  }
}

MCP Client 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。

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 Client?

MCP Client is a TypeScript implementation of a client for the Model Context Protocol (MCP) that enables language models such as OpenAI’s GPT and Anthropic’s Claude to connect to and use external MCP server tools and services. It is designed for developers who need a standardized way to give LLMs access to external tools.

How to use MCP Client?

After cloning the repository and installing dependencies (npm install), create a .env file with your API keys and LLM provider selection (OPENAI or ANTHROPIC). Configure MCP servers in mcp_config.json by specifying the command, arguments, and optional environment variables. Build the project with npm run build and run it with node build/index.js.

Key features of MCP Client

  • Connects to multiple MCP servers simultaneously
  • Supports both OpenAI and Anthropic language models
  • Cross‑platform compatibility (Windows, macOS, Linux)
  • Automatic handling of platform‑specific commands (e.g., npx.cmd)
  • Configurable environment variables and server settings

Use cases of MCP Client

  • Giving an LLM access to a PostgreSQL database via an MCP server
  • Integrating a sequential‑thinking reasoning tool with a language model
  • Running multiple external tools (filesystem, web search, etc.) for a single LLM session

常见问题

1

What prerequisites are needed to run MCP Client?

Node.js (v16+), npm or yarn, and TypeScript are required.

2

How do I configure which LLM to use and which MCP servers to connect to?

Set the `LLM` environment variable to `OPENAI` or `ANTHROPIC` and provide the corresponding API key. Define your MCP servers in a `mcp_config.json` file, with each server specifying a command, arguments, and optional environment variables.

3

Which language model providers are supported?

OpenAI (e.g., `gpt-4o`) and Anthropic (e.g., `claude-3-5-sonnet-20241022`).

4

Does MCP Client handle platform‑specific differences?

Yes. On Windows, `npx` commands are automatically adjusted to `npx.cmd`, and Python commands use `python` on Windows vs. `python3` on Unix‑like systems.

5

Where is the MCP configuration file located by default?

It defaults to `./mcp_config.json` in the project root. You can override the path with the `MCP_CONFIG_PATH` environment variable.

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