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](https://docs.astral.sh/uv/) no specific installation is needed. We will

use [uvx](https://docs.astral.sh/uv/guides/tools/) 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.