MCP Rquest
About
A MCP server providing realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints for bypassing anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by LLMs.
Details
- Author
- xxxbrian
- GitHub stars
- 48
- Downloads
- 619
- Categories
- Web Scraping, Other, AI
Jump to
- Complete HTTP methods: GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS, TRACE
- Realistic browser fingerprinting with TLS, JA3/JA4 fingerprints
- HTML and PDF to Markdown conversion for LLM processing
- Automatic handling of large responses with token counting
- Authentication support: Basic, Bearer, and custom methods
- SSL security using BoringSSL with browser-like fingerprints
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP RquestCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install using uvx (recommended) or pip, then configure the server in your MCP client (e.g., Claude for Desktop) using the provided JSON settings. Once configured, you can invoke HTTP request tools such as http_get or http_post, and use response handling tools like get_stored_response_with_markdown to convert responses to Markdown.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp rquest": {
"http-rquest": {
"command": "uvx",
"args": [
"mcp-rquest"
]
}
}
}
}
McpServers
{
"http-rquest": {
"command": "uvx",
"args": [
"mcp-rquest"
]
}
}
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"]
}
}
}
</details>
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.
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