ResearchMCP is a service enabling internet research through the MCP protocol by querying Perplexity AI API. It offers tools for in-depth, current information on various topics, with configuration options for models, timeouts, and retries. The system is designed for developers and researchers needing structured access to AI-powered internet research in a reliable manner.
Added on:
Created by:
Mar 23 2025
ResearchMCP is a service enabling internet research through the MCP protocol by querying Perplexity AI API. It offers tools for in-depth, current information on various topics, with configuration options for models, timeouts, and retries. The system is designed for developers and researchers needing structured access to AI-powered internet research in a reliable manner.
Added on:
Created by:
Mar 23 2025
Robert J.
Featured
What is ResearchMCP?
ResearchMCP is a comprehensive MCP server that facilitates internet research by integrating with Perplexity AI's API. It offers a 'research' tool that accepts queries and returns detailed, source-backed information snippets. Designed for developers, researchers, and organizations, it enables automated, scalable access to accurate and recent data. The service supports configuration of models, timeouts, and error handling, making it suitable for various research applications requiring up-to-date information retrieval and analysis through AI-driven tools.
Who will use ResearchMCP?
- Developers
- Researchers
- Organizations requiring data analysis
How to use the ResearchMCP?
- Step 1: Configure environment variables with your Perplexity API key and preferences
- Step 2: Build the Go project using 'go build'
- Step 3: Run the executable to start the MCP server
- Step 4: Use MCP-compatible clients to invoke the 'research' tool with your queries
ResearchMCP's Core Features & Benefits
The Core Features
- research
The Benefits
- Provides accurate, real-time research data
- Integrates seamlessly with MCP protocol
- Supports retries and backoff for reliability
- Configurable for various AI models and timeouts
ResearchMCP's Main Use Cases & Applications
- Automated academic research tools
- Business intelligence data collection
- Enabling AI-powered virtual assistants for research
- Real-time data retrieval for news and social media analysis
FAQs of ResearchMCP
Developer
- chew-z
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