Perplexity Research
P

Perplexity Research

An internet research service based on Perplexity AI
2.5 points
7.3K

What is ResearchMCP?

ResearchMCP is an internet research service provided through the Model Context Protocol (MCP). It leverages the powerful API of Perplexity AI to help users quickly obtain in - depth, accurate, and up - to - date information on various topics.

How to use ResearchMCP?

Simply set the environment variables and run the service to start querying questions that interest you. For example, you can enter a research question like 'The current state of quantum computing', and the system will return a detailed report and reference sources.

Applicable scenarios

ResearchMCP is very suitable for researchers, students who need in - depth information, and anyone who hopes to get high - quality answers. Whether it's academic research or daily learning, they can all benefit from it.

Main Features

Internet Research
Conduct in - depth and real - time information retrieval through the Perplexity AI API.
Model Context Protocol (MCP) Support
Compatible with the MCP protocol for easy tool discovery and invocation.
Structured Logging
Generate easy - to - read logs for convenient problem troubleshooting and performance optimization.
Advantages
Quick access to authoritative information
High flexibility and scalability
User - friendly configuration method
Limitations
Requires a stable network connection
Some advanced features may be restricted by the API

How to Use

Install Dependencies
Ensure that Go language version 1.18 or higher is installed, and set the Perplexity AI API key.
Configure Environment Variables
Before running, configure the necessary environment variables according to your needs, such as the API key and timeout.
Start the Service
After executing the command, the service will start locally and listen for requests.

Usage Examples

Case 1: The current state of quantum computing
Query the latest progress in the field of quantum computing.
Case 2: Basic concepts of artificial intelligence
Understand the basic definition of artificial intelligence and its application scenarios.

Frequently Asked Questions

How to install ResearchMCP?
Does it support custom models?
What should I do if I encounter an error?

Related Resources

Official Documentation
Details on how to use and service configuration guides.
GitHub Repository
Source code address and community discussion area.
Demo Video
Watch how to quickly get started with ResearchMCP.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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