mcp-rquest

WHAT IT CONNECTS

mcp-rquest 为 AI Agent 提供什么

• **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
• **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
• **Automatic PDF Detection**: PDF files are automatically detected based on content type
• **Seamless Conversion**: The same `get_stored_response_with_markdown` tool works for both HTML and PDF files
• **High-Quality Conversion**: Uses the [Marker](https://github.com/VikParuchuri/marker) library for accurate PDF to Markdown transformation
• **Optimized Performance**: Models are pre-downloaded during package installation to avoid delays during request processing
• Chrome (multiple versions)
• Firefox
• Safari (including iOS and iPad versions)
• Edge
• OkHttp
• Clone the repository
• Create a virtual environment using uv:
• Activate the virtual environment:
• Install development dependencies:
• 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).