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MCP-Model-Context-Protocol-Projects

MCP-Model-Context-Protocol-Projects

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github.com/manojshipraDeveloper Tools0Updated 79w ago
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About MCP-Model-Context-Protocol-Projects

A Python project for learning MCP clients and servers, including a multimodal assistant client with a Streamlit interface. It combines a Python code execution tool with live weather updates from an MCP SSE server.

Key features

  1. 01Streamlit interface for MCP queries
  2. 02Sandboxed Python code execution
  3. 03Live weather updates over SSE

Use cases

  1. 01Query MCP servers through an interactive UI
  2. 02Run Python code through an MCP tool
  3. 03View streamed live weather updates

MCP support

The client queries MCP servers through its Streamlit interface. The project also includes a Python execution tool and connects to an MCP SSE server for weather updates.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP-Model-Context-Protocol-Projects

A multimodal assistant client built on the Model-Context-Protocol (MCP) framework, with tools for executing Python code, querying live weather via Server-Sent Events (SSE), and more.

Table of Contents

Features

  • Weather SSE Tool: Connects to an MCP SSE server to stream live weather updates.
  • Streamlit Front End: Interactive UI for sending queries to MCP servers.
  • Python Executor: Tool for sandboxed execution of Python code via MCP.

Getting Started

Prerequisites
  • Python 3.9 or later
  • pip package manager
  • A valid Groq API key
Installation
  1. Clone this repository:
  2. Create and activate a virtual environment (optional but recommended): 
    python3 -m venv venv
source venv/bin/activate
  3. Install dependencies: 
    pip install -r requirements.txt
Configuration

Create a .env file in the project root containing only your Groq API key: create the .env file inside mcp-client folder.

GROQ_API_KEY=your_groq_api_key_here

Usage

Run the Weather SSE Tool

This tool connects to your MCP SSE server and prints live weather updates:

cd mcp-server
python3 weather.py
Run the Streamlit UI

Launch the interactive front end for querying MCP servers:

cd mcp-client
streamlit run main.py

Requirements

See requirements.txt.

License

This project is licensed under the MIT License.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.