Mult Fetch MCP Server is a versatile MCP-compliant web content fetching tool. It supports various modes like browser and node, formats such as HTML, JSON, Markdown, and Text, and offers intelligent proxy detection. It automatically switches modes based on content and handles large content by splitting into manageable chunks. Its features include metadata extraction, content filtering, and bilingual interface, making it suitable for integrating web data retrieval into AI workflows.
Added on:
Created by:
Mar 21 2025
Mult Fetch MCP Server is a versatile MCP-compliant web content fetching tool. It supports various modes like browser and node, formats such as HTML, JSON, Markdown, and Text, and offers intelligent proxy detection. It automatically switches modes based on content and handles large content by splitting into manageable chunks. Its features include metadata extraction, content filtering, and bilingual interface, making it suitable for integrating web data retrieval into AI workflows.
Added on:
Created by:
Mar 21 2025
lmcc-dev
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What is Mult Fetch MCP Server?
This MCP server implements a comprehensive web content fetching solution adhering to the Model Context Protocol (MCP). It supports multiple transport modes, including standard input/output (stdio) and server-sent events, for seamless integration with AI assistants. Key features include support for various content formats like HTML, JSON, Markdown, and plain text, along with intelligent mode switching between browser and node modes based on website restrictions. It offers content size management through automatic chunking, detailed debugging, internationalization (English/Chinese), and advanced browser control such as scrolling and cookie management. The server can extract meaningful content using Mozilla's Readability library, filter out unwanted elements, and fetch webpage metadata. These capabilities facilitate efficient, flexible, and context-aware web content retrieval tailored for AI applications, especially where large or complex web data is involved.
Who will use Mult Fetch MCP Server?
- AI developers
- Web scraping engineers
- Content aggregators
- Data scientists
- Chatbot integrators
How to use the Mult Fetch MCP Server?
- Step1: Install the MCP server via npm or Smithery.
- Step2: Configure your AI assistant to connect with the MCP server using supported transport methods.
- Step3: Use tools like fetch_html, fetch_json, etc., by specifying URLs and parameters in your AI workflow.
- Step4: Optional: Customize proxy, mode, and content extraction settings through parameters.
- Step5: Execute your AI tasks, and the MCP server will fetch and process web content accordingly.
Mult Fetch MCP Server's Core Features & Benefits
The Core Features
- Supports multiple content formats (HTML, JSON, Markdown, Text)
- Automatic mode switching between browser and node
- Content chunking and size management
- Metadata and meaningful content extraction
- Proxy detection and configuration
- Internationalization support (English/Chinese)
- Debug logs and detailed error handling
The Benefits
- Enables flexible web data retrieval for AI applications
- Reduces complexity in handling large or dynamic web pages
- Improves content accuracy through extraction and filtering
- Supports multilingual workflows
- Eases integration with various AI assistant tools
Mult Fetch MCP Server's Main Use Cases & Applications
- Web scraping for AI chatbot enhancements
- Large-scale content aggregation and indexing
- Metadata extraction for news or research articles
- Filtering and extracting core content from complex websites
- Supporting AI-driven data analysis and training
FAQs of Mult Fetch MCP Server
Developer
- lmcc-dev
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