Perplexity Chat MCP Server

by daniel-lxs

用于 Perplexity API 的 MCP 服务器,提供基于 Python 的接口,用于查询响应、维护聊天记录和管理对话。支持通过环境变量(如 PERPLEXITY_MODEL)进行模型配置,并在本地数据库文件中存储聊天数据,该文件可通过环境变量 DB_PATH 进行配置。

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Repository-wide counts · Cached 2026-03-07

Overview

The Perplexity Chat MCP Server MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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Perplexity Chat MCP Server

The Perplexity MCP Server provides a Python-based interface to the Perplexity API, offering tools for querying responses, maintaining chat history, and managing conversations. It supports model configuration via environment variables and stores chat data locally. Built with Python and setuptools, it's designed for integration with development environments.

The MCP Server is desined to mimick how users interact with the Perplexity Chat on their browser by allowing your models to ask questions, continue conversations, and list all your chats.

smithery badge Release and Publish

Components

Tools

  • ask_perplexity: Request expert programming assistance through Perplexity. Focuses on coding solutions, error debugging, and technical explanations. Returns responses with source citations and alternative suggestions.
  • chat_perplexity: Maintains ongoing conversations with Perplexity AI. Creates new chats or continues existing ones with full history context. Returns chat ID for future continuation.
  • list_chats_perplexity: Lists all available chat conversations with Perplexity AI. Returns chat IDs, titles, and creation dates (displayed in relative time format, e.g., "5 minutes ago", "2 days ago"). Results are paginated with 50 chats per page.
  • read_chat_perplexity: Retrieves the complete conversation history for a specific chat. Returns the full chat history with all messages and their timestamps. No API calls are made to Perplexity - this only reads from local storage.

Key Features

  • Model Configuration via Environment Variable: Allows you to specify the Perplexity model using the PERPLEXITY_MODEL environment variable for flexible model selection.

    You can also specify PERPLEXITY_MODEL_ASK and PERPLEXITY_MODEL_CHAT to use different models for the ask_perplexity and chat_perplexity tools, respectively.

    These will override PERPLEXITY_MODEL. You can check which models are available on the Perplexity documentation.

  • Persistent Chat History: The chat_perplexity tool maintains ongoing conversations with Perplexity AI. Creates new chats or continues existing ones with full history context. Returns chat ID for future continuation.

  • Streaming Responses with Progress Reporting: Uses progress reporting to prevent timeouts on slow responses.

Quickstart

Prerequisites

Before using this MCP server, ensure you have:

  • Python 3.10 or higher
  • uvx package manager installed

Note: Installation instructions for uvx are available here.

Configuration for All Clients

To use this MCP server, configure your client with these settings (configuration method varies by client):

"mcpServers": {
  "mcp-perplexity": {
    "command": "uvx",
    "args": ["mcp-perplexity"],
    "env": {
      "PERPLEXITY_API_KEY": "your-api-key",
      "PERPLEXITY_MODEL": "sonar-pro",
      "DB_PATH": "chats.db"
    }
  }
}

Environment Variables

Configure the MCP Perplexity server using the following environment variables:

Variable Description Default Value Required
PERPLEXITY_API_KEY Your Perplexity API key None Yes
PERPLEXITY_MODEL Default model for interactions sonar-pro No
PERPLEXITY_MODEL_ASK Specific model for ask_perplexity tool Uses PERPLEXITY_MODEL No
PERPLEXITY_MODEL_CHAT Specific model for chat_perplexity tool Uses PERPLEXITY_MODEL No
DB_PATH Path to store chat history database chats.db No
WEB_UI_ENABLED Enable or disable web UI false No
WEB_UI_PORT Port for web UI 8050 No
WEB_UI_HOST Host for web UI 127.0.0.1 No
DEBUG_LOGS Enable detailed logging false No
Using Smithery CLI
npx -y @smithery/cli@latest run @daniel-lxs/mcp-perplexity --config "{\"perplexityApiKey\":\"pplx-abc\",\"perplexityModel\":\"sonar-pro\"}"

Usage

ask_perplexity

The ask_perplexity tool is used for specific questions, this tool doesn't maintain a chat history, every request is a new chat.

The tool will return a response from Perplexity AI using the PERPLEXITY_MODEL_ASK model if specified, otherwise it will use the PERPLEXITY_MODEL model.

chat_perplexity

The chat_perplexity tool is used for ongoing conversations, this tool maintains a chat history. A chat is identified by a chat ID, this ID is returned by the tool when a new chat is created. Chat IDs look like this: wild-horse-12.

This tool is useful for debugging, research, and any other task that requires a chat history.

The tool will return a response from Perplexity AI using the PERPLEXITY_MODEL_CHAT model if specified, otherwise it will use the PERPLEXITY_MODEL model.

list_chats_perplexity

Lists all available chat conversations. It returns a paginated list of chats, showing the chat ID, title, and creation time (in relative format). You can specify the page number using the page argument (defaults to 1, with 50 chats per page).

read_chat_perplexity

Retrieves the complete conversation history for a given chat_id. This tool returns all messages in the chat, including timestamps and roles (user or assistant). This tool does not make any API calls to Perplexity; it only reads from the local database.

Web UI

The MCP Perplexity server now includes a web interface for easier interaction and management of chats.

Features

  • Interactive chat interface
  • Chat history management
  • Real-time message display

Screenshots

Chat List View

image

Chat Interface

image

Accessing the Web UI

When WEB_UI_ENABLED is set to true, the web UI will be available at http://WEB_UI_HOST:WEB_UI_PORT.

By default, this is http://127.0.0.1:8050.

Development

This project uses setuptools for development and builds. To get started:

  1. Create a virtual environment:

    python -m venv .venv
    source .venv/bin/activate  # On Linux/macOS
    # or
    .venv\Scripts\activate  # On Windows
    
  2. Install the project in editable mode with all dependencies:

    pip install -e .
    
  3. Build the project:

    python -m build
    

The virtual environment will contain all required dependencies for development.

Contributing

This project is open to contributions. Please see the CONTRIBUTING.md file for more information.

License

This project is licensed under the MIT License. See the LICENSE file for details.