mcp-perplexity-search
@spences10
🔎 A Model Context Protocol (MCP) server for integrating Perplexity's AI API with LLMs.
Overview
What is mcp-perplexity-search?
The mcp-perplexity-search is a Model Context Protocol (MCP) server designed to integrate Perplexity's AI API with large language models (LLMs), providing advanced chat completion capabilities with specialized prompt templates for various use cases.
How to use mcp-perplexity-search?
To use the mcp-perplexity-search, configure it through your MCP client by adding the necessary settings, including your Perplexity API key. You can then generate chat completions using predefined or custom prompt templates.
Key features of mcp-perplexity-search?
- Advanced chat completion using Perplexity's AI models
- Predefined prompt templates for common scenarios like technical documentation and security analysis
- Custom template support for specialized use cases
- Multiple output formats (text, markdown, JSON)
- Configurable model parameters (temperature, max tokens)
- Support for various Perplexity models including Sonar and LLaMA
Use cases of mcp-perplexity-search?
- Generating technical documentation automatically
- Analyzing security best practices
- Conducting code reviews and improvements
- Creating structured API documentation
FAQ from mcp-perplexity-search?
- What is required to run the server?
You need to configure the server with your Perplexity API key and set up the MCP client accordingly.
- Can I use custom templates?
Yes! The server supports custom templates for specialized use cases.
- What output formats are available?
You can choose from text, markdown, or JSON formats for the output.