MCP integration for Perplexity AI web searches
Project description
perplexity-mcp MCP server
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
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 capabilitiessonar-reasoning-pro: 128k context - Advanced reasoning with professional focussonar-reasoning: 128k context - Enhanced reasoning capabilitiessonar-pro: 200k context - Professional grade modelsonar: 128k context - Default modelr1-1776: 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.
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".
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
93aa549cd1d21515385f6f788b60a5948418bba7fb38a8c6f0f5a3f3ed96b2a9
|
|
| MD5 |
574b8da1f6352dbe62a978990fc24346
|
|
| BLAKE2b-256 |
b8f1ee5c11644e2a102ca7c09b6ccd812759ee4edf58ce3fe5a595219b81fed6
|
File details
Details for the file perplexity_mcp-0.1.7-py3-none-any.whl.
File metadata
- Download URL: perplexity_mcp-0.1.7-py3-none-any.whl
- Upload date:
- Size: 6.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8ba67c4fdbfa1be56230a54b5f9503698a4dca6e29b5cfa196181e3dd41e1f8d
|
|
| MD5 |
dd09bcec524de021dbbfaaed55a47703
|
|
| BLAKE2b-256 |
11725ab879c2a6d771e536a366e7f2d253aeefe9cf7ab141e3f25fc64c6ac0ae
|