perplexity-mcp-server
# Perplexity AI MCP Server
This repository contains the source code for a Model Context Protocol (MCP) server that provides access to the Perplexity AI API. This server allows users to interact with Perplexity AI through various tools, including chatting, searching, and retrieving documentation.
## Purpose
This server simplifies the integration of Perplexity AI into MCP-based systems. It provides a convenient and standardized way to access Perplexity AI's capabilities.
## Setup
1. **Install Node.js and npm:** Ensure you have Node.js and npm installed on your system.
2. **Clone the repository:** Clone this repository to your local machine.
3. **Install dependencies:** Navigate to the project directory and run `npm install`.
4. **Configure API Key:** Set the `PERPLEXITY_API_KEY` environment variable to your Perplexity API key.
5. **Run the server:** Run `npm start` to start the server.
## Usage
The server exposes several tools that can be accessed through the MCP system. Refer to the MCP documentation for details on how to use these tools.
## Technologies Used
* TypeScript
* @modelcontextprotocol/sdk
* axios
## Known Issues
* The Perplexity API may be unreliable. Error handling is included to gracefully handle API failures.
## Contributing
Contributions are welcome! Please open an issue or submit a pull request.
TDQS
Scored across 5 tools
Each tool targets a distinct task: conversational chat, general search, documentation lookup, API discovery, and deprecation checking. Search and get_documentation could potentially overlap, but their descriptions make the intended use clear enough.
Most tools follow a verb_noun pattern (search, get_documentation, find_apis, check_deprecated_code), but 'chat_perplexity' is inconsistent as a compound name and 'search' is a bare verb. The pattern is largely coherent with minor deviations.
Five tools is well-scoped for a Perplexity AI integration, covering the primary interaction modes without unnecessary bloat. Each tool serves a meaningful purpose.
The server covers core capabilities for Perplexity AI: conversational chat, general search, documentation, API discovery, and deprecation checks. A minor gap is the lack of model selection or account-related tools, but these are not essential for typical use.