Fetch MCP Server 1kd
An MCP server that provides web content crawling functionality, can convert HTML to Markdown for processing, and supports chunked reading of content.
rating : 2.5 points
downloads : 18
What is the Fetch MCP Server?
This is a web content acquisition service specifically designed for large language models (LLMs). It can automatically access specified web URLs, convert complex HTML web pages into concise Markdown format, and help AIs understand and process online content more efficiently.How to use the Fetch MCP Server?
Simply specify the target URL through a simple API call, and the server will automatically complete content crawling and format conversion. You can also control the length and starting position of the returned content.Use cases
Suitable for AI application scenarios that require real-time access to online information, such as news summary generation, web content analysis, knowledge base updates, etc.Main features
Intelligent content crawlingAutomatically identify the main content of the web page and filter out advertisements and irrelevant elements
HTML to Markdown conversionConvert complex HTML to concise and readable Markdown format
Chunked readingSupport segmented retrieval of long document content through the start_index parameter
Advantages and limitations
Advantages
Simplify the complexity of AI processing web content
Support chunked reading of large documents to avoid memory overflow
Provide two format options: original HTML and converted Markdown
Limitations
Unable to handle web pages that require login
Content rendered by JavaScript may not be fully retrieved
There is a limit on the length of the default returned content (5000 characters)
How to use
Install the service
Choose to install the server components via uv or pip
Call the fetch interface
Send a request containing the target URL to the service
Process the returned result
Retrieve the converted Markdown content or the original HTML
Usage examples
News summary generationCrawl the latest articles from news websites and generate summaries
Technical document analysisRead long technical documents in chunks for analysis
Frequently Asked Questions
Why is the content of some web pages not fully retrieved?
How to improve the content retrieval speed?
What is the difference between the uv and pip installation methods?
Related resources
uv official documentation
Usage guide for the uv installation tool
Markdown syntax reference
Standard reference for Markdown format
HTML parsing examples
Code repository for usage examples
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points