MCP-Model-Context-Protocol-Projects

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

@manojshipra

Repository

About MCP-Model-Context-Protocol-Projects

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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Comments

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