mseep-mcp-rquest 0.1.14

A Model Context Protocol (MCP) server providing advanced HTTP request capabilities with realistic browser emulation for Claude and other LLMs

mcp-rquest

A Model Context Protocol (MCP) server that provides advanced HTTP request capabilities for Claude and other LLMs. Built on rquest, this server enables realistic browser emulation with accurate TLS/JA3/JA4 fingerprints, allowing models to interact with websites more naturally and bypass common anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by LLMs.

Features

• Complete HTTP Methods: Support for GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS, and TRACE
• Browser Fingerprinting: Accurate TLS, JA3/JA4, and HTTP/2 browser fingerprints
• Content Handling:
  • Automatic handling of large responses with token counting
  • HTML to Markdown conversion for better LLM processing
  • PDF to Markdown conversion using the Marker library
  • Secure storage of responses in system temporary directories
• Authentication Support: Basic, Bearer, and custom authentication methods
• Request Customization:
  • Headers, cookies, redirects
  • Form data, JSON payloads, multipart/form-data
  • Query parameters
• SSL Security: Uses BoringSSL for secure connections with realistic browser fingerprints

Available Tools

• HTTP Request Tools:

  • http_get - Perform GET requests with optional parameters
  • http_post - Submit data via POST requests
  • http_put - Update resources with PUT requests
  • http_delete - Remove resources with DELETE requests
  • http_patch - Partially update resources
  • http_head - Retrieve only headers from a resource
  • http_options - Retrieve options for a resource
  • http_trace - Diagnostic request tracing

• Response Handling Tools:

  • get_stored_response - Retrieve stored large responses, optionally by line range
  • get_stored_response_with_markdown - Convert HTML or PDF responses to Markdown format for better LLM processing
  • get_model_state - Get the current state of the PDF models loading process
  • restart_model_loading - Restart the PDF models loading process if it failed or got stuck

PDF Support

mcp-rquest now supports PDF to Markdown conversion, allowing you to download PDF files and convert them to Markdown format that's easy for LLMs to process:

1. Automatic PDF Detection: PDF files are automatically detected based on content type
2. Seamless Conversion: The same get_stored_response_with_markdown tool works for both HTML and PDF files
3. High-Quality Conversion: Uses the Marker library for accurate PDF to Markdown transformation
4. Optimized Performance: Models are pre-downloaded during package installation to avoid delays during request processing

Installation

Using uv (recommended)

When using uv no specific installation is needed. We will use uvx to directly run mcp-rquest.

Using pip

Alternatively you can install mcp-rquest via pip:

pip install mcp-rquest

After installation, you can run it as a script using:

python -m mcp_rquest

Configuration

Configure for Claude.app

Add to your Claude settings:

Using uvx:

{
  "mcpServers": {
    "http-rquest": {
      "command": "uvx",
      "args": ["mcp-rquest"]
    }
  }
}

Using pip:

{
  "mcpServers": {
    "http-rquest": {
      "command": "python",
      "args": ["-m", "mcp_rquest"]
    }
  }
}

Using pipx:

{
  "mcpServers": {
    "http-rquest": {
      "command": "pipx",
      "args": ["run", "mcp-rquest"]
    }
  }
}

Browser Emulation

mcp-rquest leverages rquest's powerful browser emulation capabilities to provide realistic browser fingerprints, which helps bypass bot detection and access content normally available only to standard browsers. Supported browser fingerprints include:

• Chrome (multiple versions)
• Firefox
• Safari (including iOS and iPad versions)
• Edge
• OkHttp

This ensures that requests sent through mcp-rquest appear as legitimate browser traffic rather than bot requests.

Development

Setting up a Development Environment

1. Clone the repository
2. Create a virtual environment using uv:

   uv venv
   

3. Activate the virtual environment:

   # Unix/macOS
   source .venv/bin/activate
   # Windows
   .venv\Scripts\activate
   

4. Install development dependencies:

   uv pip install -e ".[dev]"
   

Acknowledgements

• This project is built on top of rquest, which provides the advanced HTTP client with browser fingerprinting capabilities.
• rquest is based on a fork of reqwest.