https://github.com/xxxbrian/mcp-rquest
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.
https://github.com/xxxbrian/mcp-rquest
ai claude http-requests mcp mcp-server
Last synced: 3 months ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/xxxbrian/mcp-rquest
- Owner: xxxbrian
- License: mit
- Created: 2025-03-18T19:51:50.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-22T17:36:06.000Z (7 months ago)
- Last Synced: 2025-07-04T21:04:27.469Z (3 months ago)
- Topics: ai, claude, http-requests, mcp, mcp-server
- Language: Python
- Homepage: https://pypi.org/project/mcp-rquest
- Size: 403 KB
- Stars: 31
- Watchers: 1
- Forks: 6
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-mcp-servers - **mcp-rquest** - 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. `python` `ai` `claude` `http-requests` `mcp` `pip install git+https://github.com/xxxbrian/mcp-rquest` (AI/ML)
- awesome-mcp-servers - **mcp-rquest** - 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. `python` `ai` `claude` `http-requests` `mcp` `pip install git+https://github.com/xxxbrian/mcp-rquest` (AI/ML)
- awesome-mcp-servers - Rquest - 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. (Table of Contents / Other Tools and Integrations)
- mcp-index - Advanced HTTP Request Server - Enables interaction with websites through advanced HTTP request capabilities, including realistic browser emulation and secure connections. Offers comprehensive customization for request handling and response management for AI models. (APIs and HTTP Requests)
README
# mcp-rquest
[](https://pypi.org/project/mcp-rquest/) [](https://pypi.org/project/mcp-rquest/) [](https://github.com/xxxbrian/mcp-rquest) [](https://github.com/xxxbrian/mcp-rquest)
A Model Context Protocol (MCP) server that provides advanced HTTP request capabilities for Claude and other LLMs. Built on [rquest](https://github.com/0x676e67/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](https://github.com/VikParuchuri/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:
```bash
pip install mcp-rquest
```After installation, you can run it as a script using:
```bash
python -m mcp_rquest
```## Configuration
### Configure for Claude.app
Add to your Claude settings:
Using `uvx`:
```json
{
"mcpServers": {
"http-rquest": {
"command": "uvx",
"args": ["mcp-rquest"]
}
}
}
```Using `pip`:
```json
{
"mcpServers": {
"http-rquest": {
"command": "python",
"args": ["-m", "mcp_rquest"]
}
}
}
```Using `pipx`:
```json
{
"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
- OkHttpThis 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:
```bash
uv venv
```
3. Activate the virtual environment:
```bash
# Unix/macOS
source .venv/bin/activate
# Windows
.venv\Scripts\activate
```
4. Install development dependencies:
```bash
uv pip install -e ".[dev]"
```## Acknowledgements
- This project is built on top of [rquest](https://github.com/0x676e67/rquest), which provides the advanced HTTP client with browser fingerprinting capabilities.
- rquest is based on a fork of [reqwest](https://github.com/seanmonstar/reqwest).