Skip to main content

MCP integration for Perplexity AI web searches

Project description

perplexity-mcp MCP server

smithery badge

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."

Glama Scores

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

perplexity_mcp-0.1.7.tar.gz (13.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

perplexity_mcp-0.1.7-py3-none-any.whl (6.6 kB view details)

Uploaded Python 3

File details

Details for the file perplexity_mcp-0.1.7.tar.gz.

File metadata

  • Download URL: perplexity_mcp-0.1.7.tar.gz
  • Upload date:
  • Size: 13.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.4

File hashes

Hashes for perplexity_mcp-0.1.7.tar.gz
Algorithm Hash digest
SHA256 93aa549cd1d21515385f6f788b60a5948418bba7fb38a8c6f0f5a3f3ed96b2a9
MD5 574b8da1f6352dbe62a978990fc24346
BLAKE2b-256 b8f1ee5c11644e2a102ca7c09b6ccd812759ee4edf58ce3fe5a595219b81fed6

See more details on using hashes here.

File details

Details for the file perplexity_mcp-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for perplexity_mcp-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 8ba67c4fdbfa1be56230a54b5f9503698a4dca6e29b5cfa196181e3dd41e1f8d
MD5 dd09bcec524de021dbbfaaed55a47703
BLAKE2b-256 11725ab879c2a6d771e536a366e7f2d253aeefe9cf7ab141e3f25fc64c6ac0ae

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page