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MCP server for browser-like HTTP requests
mcp-rquest plugs into Claude and other MCP clients as a request tool. It sends HTTP traffic with realistic browser fingerprints, handles common request types and auth, and can store large responses for later retrieval. It also converts HTML and PDF content to Markdown so agents can read it more easily.
Builders who want their agent to fetch sites, submit requests, and read web content in a more browser-like way.
You can have your agent access web pages and documents with less manual copying and fewer anti-bot blocks.
What it does
Browser-style HTTP requests
Supports GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS, and TRACE with realistic TLS, JA3, JA4, and HTTP/2 fingerprints.
Response storage and retrieval
Stores large responses in temp directories and lets you fetch them later, including line ranges.
HTML and PDF to Markdown
Converts HTML and PDF responses to Markdown with `get_stored_response_with_markdown` for easier LLM reading.
Request customization
Handles headers, cookies, redirects, query parameters, JSON, form data, multipart uploads, and authentication.
Model state tools
Includes `get_model_state` and `restart_model_loading` for the PDF conversion pipeline.
How to get it
- 1Alternatively you can install mcp-rquest via pip
pip install mcp-rquest
- 2After installation, you can run it as a script using
python -m mcp_rquest
README
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 parametershttp_post- Submit data via POST requestshttp_put- Update resources with PUT requestshttp_delete- Remove resources with DELETE requestshttp_patch- Partially update resourceshttp_head- Retrieve only headers from a resourcehttp_options- Retrieve options for a resourcehttp_trace- Diagnostic request tracing
-
Response Handling Tools:
get_stored_response- Retrieve stored large responses, optionally by line rangeget_stored_response_with_markdown- Convert HTML or PDF responses to Markdown format for better LLM processingget_model_state- Get the current state of the PDF models loading processrestart_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:
- Automatic PDF Detection: PDF files are automatically detected based on content type
- Seamless Conversion: The same
get_stored_response_with_markdowntool works for both HTML and PDF files - High-Quality Conversion: Uses the Marker library for accurate PDF to Markdown transformation
- 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
- Clone the repository
- Create a virtual environment using uv:
uv venv - Activate the virtual environment:
# Unix/macOS source .venv/bin/activate # Windows .venv\Scripts\activate - Install development dependencies:
uv pip install -e ".[dev]"
Acknowledgements
Files in the repo
- mcp_rquest
- .bumpversion.toml
- .gitignore
- .python-version
- LICENSE.txt
- Makefile
- pyproject.toml
- pytest.ini
- README.md
- setup.py
- uv.lock
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