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perplexity-mcp

一个利用Perplexity AI的API来实现网络搜索功能的服务器,旨在与Claude桌面客户端集成以增强搜索查询功能。

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README

perplexity-mcp MCP server

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A Model Context Protocol (MCP) server that provides web search functionality using Perplexity AI's API. Works with the Anthropic Claude desktop client.

Example

Let's you use prompts like, "Search the web to find out what's new at Anthropic in the past week."

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Perplexity Server MCP server

Components

Prompts

The server provides a single prompt:

  • perplexity_search_web: Search the web using Perplexity AI
    • Required "query" argument for the search query
    • Optional "recency" argument to filter results by time period:
      • 'day': last 24 hours
      • 'week': last 7 days
      • 'month': last 30 days (default)
      • 'year': last 365 days
    • Uses Perplexity's API to perform web searches

Tools

The server implements one tool:

  • perplexity_search_web: Search the web using Perplexity AI
    • Takes "query" as a required string argument
    • Optional "recency" parameter to filter results (day/week/month/year)
    • Returns search results from Perplexity's API

Installation

Installing via Smithery

To install Perplexity MCP for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install perplexity-mcp --client claude

Requires UV (Fast Python package and project manager)

If uv isn't installed.

# Using Homebrew on macOS
brew install uv

or

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Environment Variables

The following environment variable is required in your claude_desktop_config.json. You can obtain an API key from Perplexity

  • PERPLEXITY_API_KEY: Your Perplexity AI API key

Optional environment variables:

  • PERPLEXITY_MODEL: The Perplexity model to use (defaults to "sonar" if not specified)

    Available models:

    • sonar-deep-research: 128k context - Enhanced research capabilities
    • sonar-reasoning-pro: 128k context - Advanced reasoning with professional focus
    • sonar-reasoning: 128k context - Enhanced reasoning capabilities
    • sonar-pro: 200k context - Professional grade model
    • sonar: 128k context - Default model
    • r1-1776: 128k context - Alternative architecture

And updated list of models is avaiable (here)[https://docs.perplexity.ai/guides/model-cards]

Cursor & Claude Desktop Installation

Add this tool as a mcp server by editing the Cursor/Claude config file.

  "perplexity-mcp": {
    "env": {
      "PERPLEXITY_API_KEY": "XXXXXXXXXXXXXXXXXXXX",
      "PERPLEXITY_MODEL": "sonar"
    },
    "command": "uvx",
    "args": [
      "perplexity-mcp"
    ]
  }

Cursor

  • On MacOS: /Users/your-username/.cursor/mcp.json
  • On Windows: C:\Users\your-username\.cursor\mcp.json

If everything is working correctly, you should now be able to call the tool from Cursor. mcp_screenshot

Claude Desktop

  • On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • On Windows: %APPDATA%/Claude/claude_desktop_config.json

To verify the server is working. Open the Claude client and use a prompt like "search the web for news about openai in the past week". You should see an alert box open to confirm tool usage. Click "Allow for this chat".

mcp_screenshot
help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client