MCP-Model-Context-Protocol-Projects

Name: MCP-Model-Context-Protocol-Projects
Author: manojshipra

@manojshipra

リポジトリ

MCP-Model-Context-Protocol-Projects について

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

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

manojshipra

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

ツール

ツールは検出されませんでした

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-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.

FAQ from MCP-Model-Context-Protocol-Projects

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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