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by alexwohletz • Search & Retrieval
An MCP server that exposes Perplexity AI search functionality (with web citations) to agents via a simple tool.
Perform web-cited, up-to-date searches and return both a natural language answer and source links.
Integrate Perplexity-powered search into MCP-compatible clients (e.g., Claude Desktop) via a simple stdio tool.
Configurable search behavior (model selection, temperature, max tokens, and recency filters) and token usage reporting.
This MCP server wraps the Perplexity AI search API to provide an agent-facing `search` tool that returns AI-generated answers, web citations, and token usage details. It supports configurable model, temperature, token limits, and search recency filters, and is designed for easy integration with MCP clients such as Claude Desktop. The server handles common error cases (missing API key, rate limits, network errors) and runs as a stdio MCP process.
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