MCP MCP Projects

@manojshipra

代码仓库

基本信息

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其他

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stdio

作者

manojshipra

关于 MCP MCP Projects

In this Repo I am learning and practically implementing MCP clients and servers in python.

MCP MCP Projects 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-Model-Context-Protocol-Projects": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP MCP Projects 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-Model-Context-Protocol-Projects?

MCP-Model-Context-Protocol-Projects is a multimodal assistant client built on the Model-Context-Protocol (MCP) framework. It provides tools for executing Python code in a sandboxed environment, querying live weather via Server-Sent Events (SSE), and interacting with MCP servers through a Streamlit-based user interface.

How to use MCP-Model-Context-Protocol-Projects?

After cloning the repository and installing dependencies with pip install -r requirements.txt, create a .env file in the mcp-client folder containing your GROQ_API_KEY. Run the weather SSE tool from the mcp-server folder with python3 weather.py, or launch the interactive UI from the mcp-client folder with streamlit run main.py.

Key features of MCP-Model-Context-Protocol-Projects

Weather SSE Tool for live weather updates.
Streamlit front-end for querying MCP servers.
Python Executor for sandboxed code execution.
Relies on the Model-Context-Protocol framework.

Use cases of MCP-Model-Context-Protocol-Projects

Query live weather data streamed via MCP SSE servers.
Execute isolated Python code through MCP’s sandbox tool.
Interact with MCP servers using an intuitive Streamlit UI.
Prototype multimodal AI assistants that combine code and data.

常见问题

What prerequisites are needed to run MCP-Model-Context-Protocol-Projects?

You need Python 3.9 or later, `pip`, and a valid Groq API key.

How do I configure my API key?

Create a `.env` file in the `mcp-client` folder containing `GROQ_API_KEY=your_groq_api_key_here`.

How do I run the weather SSE tool?

Navigate to the `mcp-server` folder and execute `python3 weather.py`.

How do I launch the Streamlit UI?

From the `mcp-client` folder, run `streamlit run main.py`.

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