Coucya MCP Server Requests
C

Coucya MCP Server Requests

An MCP server that provides HTTP request capabilities, supporting LLMs to retrieve and process web page content, including functions such as content conversion, filtering, and custom requests.
2 points
6.2K

What is mcp-server-requests?

This is a middleware server specifically designed for large language models (LLMs). Through the standardized Model Context Protocol (MCP), it enables LLMs to securely initiate HTTP requests and retrieve web content. The server automatically handles content format conversion and filtering, returning a data format most suitable for LLM processing.

How to use mcp-server-requests?

After simple installation and configuration, LLMs can initiate various HTTP requests (GET/POST/PUT, etc.) through a standard interface. The server will process the requests and return formatted content. Users can control request behaviors such as the User - Agent through command - line parameters.

Applicable scenarios

When an LLM needs to obtain real - time network information; when it needs to interact with Web APIs; when it needs to read web page content but only requires key information. Typical use cases include news summarization, price monitoring, API calls, etc.

Main features

Content format conversion
Supports converting web page HTML to clean Markdown format, removing disturbing content such as advertisements and scripts
Full HTTP method support
Supports all HTTP methods such as GET/POST/PUT/DELETE/PATCH
Flexible User - Agent management
Supports multiple UA configuration methods such as customizing UA, randomly generating UA, and generating UA according to conditions
Request header control
Allows LLMs to specify custom request headers, or the server automatically adds necessary header information
Advantages
Provides a secure network access channel for LLMs, avoiding direct exposure to the public network
Automatically purifies content, removing redundant information that LLMs do not need
Flexible request configuration to meet the anti - scraping requirements of different websites
Lightweight design, easy to deploy and integrate
Limitations
Cannot handle dynamic content that requires JavaScript rendering
The conversion effect for non - standard HTML pages may not be ideal
Additional configuration may be required in high - concurrency scenarios

How to use

Install the service
Clone the repository via git and install it using pip
Configure the MCP client
Add server configuration to the LLM's configuration file
Start the server
Select a suitable User - Agent strategy to start the service

Usage examples

Get news summaries
Let the LLM retrieve the latest news and generate summaries
Query the weather API
Obtain real - time weather data through the API
Submit form data
Simulate a user submitting a form

Frequently Asked Questions

How to solve website anti - scraping problems?
Why is the retrieved content incomplete?
How to view available random UA configurations?

Related resources

GitHub repository
Project source code and the latest version
MCP protocol documentation
Official documentation for the Model Context Protocol
HTTP request tutorial
MDN reference for HTTP request methods

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "mcp-server-requests": {
            "command": "python",
            "args": [
                "-m",
                "mcp_server_requests"
            ]
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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