Model Context Protocol (MCP) Server 🚀

Name: Model Context Protocol (MCP) Server 🚀
Author: praneethk-ai

@praneethk-ai

Repository

About Model Context Protocol (MCP) Server 🚀

No overview available yet

Basic information

Config

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

{
  "mcpServers": {
    "praneeths_mcp_server": {
      "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 Model Context Protocol (MCP) Server 🚀?

Model Context Protocol (MCP) Server 🚀 is a modular Python server that handles context-aware tasks through specialized modules. It currently supports automated research and web scraping, making it ideal for developers and researchers needing real-time data extraction or structured research summaries.

How to use Model Context Protocol (MCP) Server 🚀?

Clone the repository, set up a Python virtual environment, install dependencies from requirements.txt, and run python server.py. After launching, type RESEARCH or WEBSCRAPING to switch between modules, or use the switch command. Type exit to quit.

Key features of Model Context Protocol (MCP) Server 🚀

Modular design for easy integration of new MCP modules
ResearchMCP provides real-time insights and summarized content
WebscrapingMCP automates web data extraction into structured formats
Built-in logging and debugging capabilities
Interactive terminal interface with dynamic mode switching

Use cases of Model Context Protocol (MCP) Server 🚀

Automate research summaries from credible sources
Scrape and structure web data from specified URLs
Extend the server with new context-aware modules as needed

FAQ from Model Context Protocol (MCP) Server 🚀

What modules are currently available?

The server includes ResearchMCP for automated research and WebscrapingMCP for web scraping.

How do I switch between modules?

After launching the server, type RESEARCH or WEBSCRAPING at the prompt, or use the switch command to change modes.

What are the runtime requirements?

Python 3, a virtual environment, and the dependencies listed in requirements.txt.

How do I exit the server?

Type exit at any prompt to shut down the server.

Where is the scraped or researched data stored?

The README does not specify data persistence; it provides structured output in the terminal (e.g., JSON format for web scraping).

Comments

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