mcp-perplexity-search
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A Model Context Protocol (MCP) server for integrating Perplexity's AI API with LLMs, providing advanced chat completion capabilities.
The mcp-perplexity-search is a Model Context Protocol server designed to integrate Perplexity's AI API with large language models (LLMs). It offers advanced chat completion capabilities using specialized prompt templates tailored for various use cases such as technical documentation generation, security best practices analysis, code review, and API documentation. The server supports multiple output formats including text, markdown, and JSON, and allows for the inclusion of source URLs in responses. It is configurable with different model parameters like temperature and max tokens, and supports various Perplexity models including Sonar and LLaMA. Although this repository is no longer maintained, its functionality is now available in the mcp-omnisearch package.
Features
- Advanced chat completion using Perplexity's AI models
- Predefined prompt templates for common scenarios
- Custom template support for specialized use cases
- Multiple output formats (text, markdown, JSON)
- Configurable model parameters (temperature, max tokens)
Tools
chat_completion
Generate chat completion responses, support for predefined and custom templates
