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MCP: The CLI-Based Universal AI Application Connector

@ItzEmirKun

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開発者ツール

トランスポート

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ItzEmirKun

MCP: The CLI-Based Universal AI Application Connector について

🚀 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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-itzemirkun": {
      "command": "python",
      "args": [
        "mcp.py"
      ]
    }
  }
}

MCP: The CLI-Based Universal AI Application Connector のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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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