PranjalDby Mcp Server

🧠 MCP Server with Tavily Web Search Integration

mcp-server is a lightweight Model Context Protocol (MCP) server that integrates the Tavily Search API to enable real-time internet access for Large Language Models (LLMs). It allows LLMs to fetch up-to-date, factual information from the web instead of relying solely on static training data.

This server acts as a bridge between LLMs and live web data, making it ideal for applications that require current news, recent documentation, live trends, or fast-changing technical information.

✨ Key Features

🔗 MCP-compliant server for seamless LLM integration

🌐 Real-time web search powered by the Tavily API

🤖 Designed specifically for LLMs needing fresh, current information

⚡ Simple, minimal Python implementation

🧩 Easy to extend with additional tools or data sources

🛠 Use Cases

LLM agents with live internet search

AI assistants requiring recent or time-sensitive data

Research and Q&A systems beyond training-cutoff limits

Developer tools that need real-world, current context

📦 Tech Stack

Python

Model Context Protocol (MCP)

Tavily Search API

Prerequisites

• Node.js (v16 or higher recommended)
• npm or yarn
• (Optional) Docker

Installation

Clone the repository and install dependencies:

git clone https://github.com/yourusername/mcp_demo.git
cd mcp_demo
npm install
# or
yarn install

Configuration

• Create .env file and create the variable named tavily_api and put your tavily api key. e.g = "tavily_api = apikey"

Running the Server

Development

npm run dev
# or
yarn dev

Production

npm run build
npm start
# or
yarn build
yarn start

Python

install python if not present
run following commands:
cd mcp_demo folder
python -r requirement.txt
python server.py

python server.py

Using Docker (Optional)

docker build -t mcp_demo .
docker run -p 3000:3000 mcp_demo

API Usage

The server exposes RESTful APIs. By default, it runs on http://localhost:8080.

Refer to the source code or API documentation for more details.

Project Structure

mcp_demo/
├── .env (may not be present. please create .env file)
├── requirement.txt
├── server.py
└── ...

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/feature-name)
3. Commit your changes
4. Push to the branch (git push origin feature/feature-name)
5. Open a pull request

License

This project is licensed under the MIT License.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: PranjalDby
• Source: PranjalDby/mcp-server
• License: MIT

Install and usage instructions live in the source repository linked above.