A Model Context Protocol server in TypeScript that fetches web pages, extracting content as markdown, enabling LLMs to process web data efficiently.
Added on:
Created by:
Apr 25 2025
A Model Context Protocol server in TypeScript that fetches web pages, extracting content as markdown, enabling LLMs to process web data efficiently.
Added on:
Created by:
Apr 25 2025
Thomas Gambet
Featured
What is Fetch MCP Server?
This MCP is a web content fetching server built with TypeScript for Node.js, supporting content extraction from URLs, HTML to markdown conversion, and pagination. It respects robots.txt by default, with options for user-agent customization and content truncation using start indices. Designed for LLM integration, it enables models to retrieve and process web page content in manageable chunks, enhancing information extraction and analysis capabilities in web-based applications.
Who will use Fetch MCP Server?
- AI developers
- Research institutions
- Content extraction tools
- Chatbot developers
How to use the Fetch MCP Server?
- Step 1: Install via npm or Docker
- Step 2: Run the server with default settings or customize options
- Step 3: Use the provided API endpoints to fetch content from URLs
- Step 4: Integrate with your application or model to process the fetched content
Fetch MCP Server's Core Features & Benefits
The Core Features
- fetch URL content
- convert HTML to markdown
- respect or ignore robots.txt
- user-agent customization
- pagination support
The Benefits
- Enables efficient web content extraction
- Supports content processing for AI models
- Flexible customization options
- Adaptable for deployment as a web service
Fetch MCP Server's Main Use Cases & Applications
- Automated web content summarization
- Enhancing language models with web data
- Research on HTML content analysis
- Data collection for NLP training
FAQs of Fetch MCP Server
Developer
- tgambet
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