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MCP: The CLI-Based Universal AI Application Connector

@ItzEmirKun

代码仓库

基本信息

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开发工具

传输方式

stdio

作者

ItzEmirKun

关于 MCP: The CLI-Based Universal AI Application Connector

🚀 OpenClient- The CLI-Based Universal AI Application Connector! An open-source Model Context Protocol (MCP) implementation that turbocharges LLMs by context provisioning standardization. Quickly connect a server of your choice with our client to boost your AI capabilities. Ideal

#agent#minecraft#aws#typescript#reverse-engineering#workflows#workflow-automation#ai-agents#anthropic#ai-autom#model-context-protocol#mcp-server#mcp-clients#no-code-automation

MCP: The CLI-Based Universal AI Application Connector 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-itzemirkun": {
      "command": "python",
      "args": [
        "mcp.py"
      ]
    }
  }
}

MCP: The CLI-Based Universal AI Application Connector 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?

MCP is an open-source CLI tool that implements the Model Context Protocol (MCP) to standardize context provisioning for large language models, allowing developers to connect to any server and enhance their AI capabilities.

How to use MCP?

Clone the repository, install dependencies via pip install -r requirements.txt, and download the latest release. Run the application with python mcp.py, then connect to a server using mcp connect <server-url> and send queries with mcp query "text". Configuration is managed through the config.json file.

Key features of MCP

  • Fully open-source under the MIT License.
  • Universal compatibility with any server.
  • Standardized context provisioning for LLMs.
  • Simple command-line interface.
  • Extensive documentation and examples.

Use cases of MCP

  • Connecting an LLM to a custom local or remote server.
  • Prototyping AI applications with standardized context.
  • Sending queries to and receiving responses from an LLM.
  • Enhancing developer workflows with a CLI-based tool.

常见问题

1

What are the installation prerequisites for MCP?

You need Python installed and then run `pip install -r requirements.txt` to install the required packages.

2

How do I configure MCP?

Edit the `config.json` file to set the server URL, timeout, and max tokens for queries.

3

How do I connect to a server using MCP?

Run the command `mcp connect <your-server-url>` after starting the application.

4

How do I send a query to the connected LLM?

Use the command `mcp query "your question"` to send a query and receive a response.

5

Is MCP open-source and what license does it use?

Yes, MCP is fully open-source and licensed under the MIT License.

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