AI Agent for mcp-rquest
Integrate mcp-rquest to empower your AI workflows with advanced HTTP request capabilities, realistic browser emulation, and seamless document conversion. Bypass anti-bot measures, interact with web resources like a standard browser, and enable Claude or other LLMs to process web and document data with unmatched fidelity. All requests feature secure fingerprinting, authentication, and robust content handling including PDF and HTML to Markdown conversion.
Advanced HTTP Request Emulation
Effortlessly perform GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS, and TRACE requests with browser-accurate TLS/JA3/JA4 fingerprints. mcp-rquest lets your AI agents bypass common anti-bot protections and interact with web services as if they were real browsers—enabling seamless data extraction and integration with web APIs.
- Full HTTP Method Support.
- Leverage the complete suite of HTTP methods for maximum integration flexibility.
- Browser Fingerprinting.
- Emulate Chrome, Firefox, Safari, and more with realistic TLS/JA3/JA4 signatures.
- Anti-Bot Bypass.
- Requests appear as legitimate browser traffic, overcoming web anti-bot measures.
- Optimized Performance.
- Efficient handling of large responses, with token counting and secure storage.
Seamless PDF & HTML to Markdown Conversion
Automatically detect and convert PDF and HTML documents into Markdown format for streamlined LLM processing. Powered by the Marker library, this feature ensures high-quality, structured outputs for data extraction and analysis, making web and document content easily actionable by AI agents.
- Automatic Document Detection.
- PDFs and HTML files are auto-identified and processed for conversion.
- Seamless Conversion.
- Unified tool for converting both HTML and PDF to Markdown for LLM-friendly formatting.
- High-Quality Results.
- Utilizes the Marker library for accurate Markdown output, perfect for AI applications.
Customizable Security & Authentication
Enhance your AI workflows with robust security options. mcp-rquest supports Basic, Bearer, and custom authentication, secure SSL connections using BoringSSL, and allows fine-tuned control over headers, cookies, redirects, and more—ensuring safe, flexible, and reliable data access for every interaction.
- Flexible Authentication.
- Supports Basic, Bearer, and custom auth methods for secure access.
- SSL Security.
- Secure connections with realistic browser SSL fingerprints using BoringSSL.
- Request Customization.
- Easily adjust headers, cookies, payloads, and redirects per request.
MCP INTEGRATION
Available mcp-rquest MCP Integration Tools
The following tools are available as part of the mcp-rquest MCP integration:
- http_get
Perform GET requests with optional parameters to retrieve data from web resources.
- http_post
Submit data via POST requests to create or send information to web servers.
- http_put
Update resources on web servers by sending a complete replacement using PUT requests.
- http_delete
Remove resources from web servers using DELETE requests.
- http_patch
Partially update resources on web servers using PATCH requests.
- http_head
Retrieve only the headers from a web resource without the body content.
- http_options
Retrieve communication options available for a web resource.
- http_trace
Perform diagnostic tracing of requests to a web resource.
- get_stored_response
Retrieve stored large responses, optionally by line range, for further analysis.
- get_stored_response_with_markdown
Convert HTML or PDF responses to Markdown format for easier 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 has failed or become stuck.
Experience Advanced HTTP Emulation for LLMs
Unlock powerful, browser-like HTTP requests with realistic fingerprints and seamless PDF/HTML to Markdown conversion. See how mcp-rquest can enhance AI web interactions and content extraction.
What is MCP-RQuest
MCP-RQuest is an advanced Model Context Protocol (MCP) server that specializes in providing realistic, browser-like HTTP request capabilities for large language models (LLMs) such as Claude and others. Built on the robust 'rquest' foundation, this server is engineered to enable LLMs to perform sophisticated web interactions with accurate TLS/JA3/JA4 fingerprinting, allowing them to bypass anti-bot measures and interact with web services as genuine browsers do. MCP-RQuest is designed for scenarios that require high-fidelity HTTP requests, such as data extraction, web automation, and interaction with modern web applications that employ advanced bot detection techniques. The server supports a wide range of HTTP request features and is tailored for seamless integration with AI agents, making it a powerful tool for developers and organizations working at the intersection of AI and the web.
Capabilities
What we can do with MCP-RQuest
With MCP-RQuest, users and AI agents can perform highly realistic, browser-mimicking HTTP requests that are suitable for advanced web automation and data acquisition. The service caters to scenarios where traditional HTTP clients fail due to anti-bot protections or complex web interactions.
- Realistic HTTP requests
- Perform HTTP requests with authentic browser fingerprints and TLS signatures to bypass advanced anti-bot systems.
- Web scraping & automation
- Extract data from websites and automate interactions that would otherwise be blocked by standard bots.
- LLM Integration
- Seamlessly connect large language models to live web content and services.
- Advanced fingerprinting
- Use precise JA3/JA4 and TLS fingerprinting to simulate real user traffic.
- Bypass anti-bot protections
- Enable AI agents to interact with modern web applications protected by sophisticated bot detections.
How AI Agents Benefit from MCP-RQuest
AI agents gain the ability to interact with the web in a realistic, human-like manner using MCP-RQuest. This empowers them to collect live data, automate complex workflows, and access services that are typically restricted to genuine browsers. By leveraging MCP-RQuest's advanced fingerprinting and anti-bot evasion capabilities, AI agents can deliver more reliable, up-to-date, and comprehensive results for a wide range of applications, including research, monitoring, and intelligent automation.