perplexity-mcp and MCP-perplexica
These are ecosystem siblings, as both projects implement the Model Context Protocol (MCP) to integrate Perplexity AI (or Perplexica search, which uses Perplexity) with AI assistants, demonstrating different applications of the same underlying protocol rather than being directly competitive or complementary to each other.
About perplexity-mcp
DaInfernalCoder/perplexity-mcp
A Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI. Won 1st @ Cline Hackathon
Implements automatic query complexity detection that routes between three Perplexity models—Sonar Pro for quick lookups, Sonar Reasoning Pro for multi-step analysis, and Sonar Deep Research for comprehensive reports—with optional manual override via `force_model` parameter. Exposes three MCP tools with integrated web search across all tasks, designed to enforce specificity from calling agents. Configurable via environment variables, command-line arguments, or `.env` files with fallback resolution priority.
About MCP-perplexica
Ruben-Alvarez-Dev/MCP-perplexica
MCP server that bridges Perplexica search to any AI assistant. Enables web, academic, and deep search through Model Context Protocol.
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