mcp-perplexity-search

mcp-perplexity-search

By spences10 GitHub

🔎 A Model Context Protocol (MCP) server for integrating Perplexity's AI API with LLMs.

search mcp
Overview

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.

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.

  • 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
  1. Generating technical documentation automatically
  2. Analyzing security best practices
  3. Conducting code reviews and improvements
  4. Creating structured API documentation
  • 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.

Overview

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.

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.

  • 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
  1. Generating technical documentation automatically
  2. Analyzing security best practices
  3. Conducting code reviews and improvements
  4. Creating structured API documentation
  • 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.

No tools information available.
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