M

Mult Fetch MCP Server

A web content acquisition and processing tool based on the MCP protocol
2.5 points
9

What is Mult Fetch MCP Server?

Mult Fetch MCP Server is a server based on the Model Context Protocol (MCP) that allows AI assistants (such as Claude) to communicate with external tools through a standard protocol. Its main functions include web content acquisition, intelligent content extraction, and chunk processing.

How to use Mult Fetch MCP Server?

It can be installed globally via npm or run directly using npx. When integrating with an AI assistant (such as Claude), simply add the server settings to the configuration file.

Use cases

Suitable for scenarios where an AI assistant needs to obtain and process web content, such as news summarization, data analysis, and content extraction. It is particularly suitable for processing large web content and can automatically chunk it to fit the context limitations of AI models.

Main features

Multiple acquisition methodsSupports content acquisition in multiple formats such as HTML, JSON, plain text, and Markdown.
Intelligent content extractionBased on Mozilla's Readability algorithm, it can automatically extract the main content of a web page and filter out ads and navigation elements.
Content chunk managementAutomatically splits large content into chunks suitable for AI processing and supports on-demand retrieval of specific chunks.
Browser modeSupports browser automation and can handle pages that require JavaScript rendering.
Multilingual supportSupports interfaces in both Chinese and English.

Advantages and limitations

Advantages
Automatically handles large content chunking to solve the context limitation problem of AI models.
Intelligently extracts the core content of web pages to improve information acquisition efficiency.
Supports multiple acquisition methods and formats to meet different needs.
Simple and easy-to-use configuration and integration methods.
Detailed debugging logs and error handling.
Limitations
Browser mode requires more system resources.
Some complex websites may require special configuration to obtain content correctly.
The content extraction algorithm may not work well for non-standard web page structures.

How to use

Installation
Install/run the server via npm or npx.
Configure the AI client
Add the server settings to the configuration file of the AI assistant (such as Claude).
Use the tool
Use the supported fetch tools to obtain web content in AI conversations.

Usage examples

Obtain the main content of a news articleExtract the main body of an article from a news website, removing ads and navigation content.
Process large documentsObtain the content of a large web document in chunks.
Obtain a page that requires JavaScript renderingUse browser mode to obtain dynamically loaded content.

Frequently asked questions

How to set the language to Chinese?
Why does obtaining content from some websites fail?
How to view debugging information?
How does content chunking work?
How to configure a proxy?

Related resources

GitHub repository
Project source code and latest updates.
npm package
Official npm package page.
MCP protocol documentation
Official specification of the Model Context Protocol.
Usage example diagram
Screenshot of an example of using the fetch tool in the Claude client.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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