Url Text Fetcher MCP
U

Url Text Fetcher MCP

A micro MCP server designed for LM Studio, providing URL text and link crawling functions
2 points
5.8K

What is URL Text Fetcher?

This is a lightweight service designed specifically for LM Studio. It can fetch the main body content or all links of any web page through simple commands. It enables AI assistants to directly read and analyze online information.

How to use this service?

Simply install and configure it in LM Studio, then call the fetch_url_text or fetch_page_links functions through natural language instructions to obtain web page data.

Applicable scenarios

Suitable for scenarios that require real-time online information analysis, such as: news summary generation, link resource collection, technical document query, etc.

Main Features

Web page main body extraction
Automatically filter out advertising and navigation elements and return the pure main body content of the web page
Link crawling
Fetch all hyperlinks on the page and support filtering specific types of URLs
Advantages
Lightweight design with low resource consumption
Seamless integration with LM Studio
Obtain web page content without writing code
Limitations
Some websites may block automated access
Only support text content extraction and do not handle multimedia
Require a Python runtime environment

How to Use

Installation Preparation
Create a Python virtual environment and install the dependency packages
LM Studio Configuration
Add the server configuration to mcp.json and use an absolute path to avoid errors
Restart the Application
Restart LM Studio after saving the configuration to make the changes take effect

Usage Examples

Web page content summary
Fetch the main body of the web page and generate a concise summary
Link collection
Collect all relevant resource links from a technical website

Frequently Asked Questions

Why does the ENOENT error occur?
What if the content of some websites cannot be obtained?

Related Resources

LM Studio Documentation
Official usage guide
Python Official Website
Python programming language

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "url-text-fetcher": {
      "command": "/Users/lex/Learning/URL-Fetcher-LM-Studio-MCP-Server/.venv/bin/python",
      "args": ["-m", "url_text_fetcher.mcp_server"],
      "cwd": "/Users/lex/Learning/URL-Fetcher-LM-Studio-MCP-Server"
    }
  }
}

{
  "mcpServers": {
    "url-text-fetcher": {
      "command": "/Users/lex/Learning/URL-Fetcher-LM-Studio-MCP-Server/.venv/bin/url-text-fetcher",
      "args": [],
      "cwd": "/Users/lex/Learning/URL-Fetcher-LM-Studio-MCP-Server"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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