Mcp Website Fetcher
What is Mcp Website Fetcher
mcp-website-fetcher is an implementation of the Model Context Protocol (MCP) that provides a simple service for fetching and retrieving the content of any website through the MCP protocol.
Use cases
Use cases include automated data collection for research, content aggregation for news applications, and integration into chatbots that need to provide real-time information from the web.
How to use
To use mcp-website-fetcher, clone the repository, install the dependencies using pip, and run the server with ‘python app.py --port 8000’. Alternatively, you can build and run it using Docker commands.
Key features
Key features include the ability to fetch website content, integration with the MCP protocol, and support for local development and Docker deployment.
Where to use
mcp-website-fetcher can be used in web scraping, data extraction, and any application that requires accessing and retrieving content from various websites.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Website Fetcher
mcp-website-fetcher is an implementation of the Model Context Protocol (MCP) that provides a simple service for fetching and retrieving the content of any website through the MCP protocol.
Use cases
Use cases include automated data collection for research, content aggregation for news applications, and integration into chatbots that need to provide real-time information from the web.
How to use
To use mcp-website-fetcher, clone the repository, install the dependencies using pip, and run the server with ‘python app.py --port 8000’. Alternatively, you can build and run it using Docker commands.
Key features
Key features include the ability to fetch website content, integration with the MCP protocol, and support for local development and Docker deployment.
Where to use
mcp-website-fetcher can be used in web scraping, data extraction, and any application that requires accessing and retrieving content from various websites.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Model Context Protocol (MCP) Website Fetcher
A Model Context Protocol (MCP) server implementation that provides a simple website fetching service. This server exposes a tool that allows clients to fetch and retrieve the content of any website through the MCP protocol.
What is MCP?
Model Context Protocol (MCP) is a protocol that enables LLMs to interact with external tools and resources. MCP servers can provide three main types of capabilities:
- Resources: File-like data that can be read by clients (like API responses or file contents)
- Tools: Functions that can be called by the LLM (with user approval)
- Prompts: Pre-written templates that help users accomplish specific tasks
This implementation focuses on providing a tool capability for website fetching.
Local Development
-
Clone the repository:
git clone <your-repository-url> cd <repository-name> -
Install dependencies:
pip install -r requirements.txt -
Run the MCP server:
python app.py --port 8000
The server will start and listen for MCP connections on the specified port (default: 8000).
Docker
Local Docker Build
-
Build the Docker image:
docker build -t mcp-website-fetcher . -
Run the container:
docker run -p 8000:8000 mcp-website-fetcher
Using GitHub Container Registry
The application is automatically built and pushed to GitHub Container Registry (GHCR) on every push to the main branch. You can pull and run the latest image using:
docker pull ghcr.io/<your-github-username>/<repository-name>:main docker run -p 8000:8000 ghcr.io/<your-github-username>/<repository-name>:main
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
