A perplexity MCP server
What is nachoal perplexity mcp
Perplexity Web Search MCP Server
A simple MCP (Model Context Protocol) server that provides web search functionality using the Perplexity API. This server allows Claude or other MCP-compatible AI assistants to search the web and get up-to-date information.
Features
- Search the web with Perplexity's powerful search capabilities
- Get comprehensive search results with sources and citations
- Filter results by time period (day, week, month, year)
- Includes a ready-to-use prompt template for web searches
- Supports loading API key from environment variables or .env file
Installation
- Clone this repository
- Install dependencies:
orpip install -e .
uv pip install -e .
Configuration
You can set the PERPLEXITY_API_KEY
environment variable with your Perplexity API key:
export PERPLEXITY_API_KEY="your-api-key-here"
Alternatively, you can create a .env
file in the project root with the following content:
PERPLEXITY_API_KEY=your-api-key-here
A sample .env.example
file is provided for reference.
To get a Perplexity API key:
- Visit Perplexity API Settings
- Create an account if you don't have one
- Generate an API key
Usage
Running the server
python server.py
Testing the server
You can test the server functionality without running the full MCP server using the included test script:
python test_server.py "your search query here" --recency month
Options for --recency
are: day, week, month (default), year
Using with Claude Desktop
-
Edit your Claude Desktop configuration file:
- On macOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json
- On Windows:
%APPDATA%/Claude/claude_desktop_config.json
- On macOS:
-
Add the following configuration:
{ "perplexity-mcp": { "env": { "PERPLEXITY_API_KEY": "your-api-key-here" }, "command": "python", "args": [ "/path/to/server.py" ] } }
-
Restart Claude Desktop
Example Prompts for Claude
- "Search the web for the latest news about artificial intelligence"
- "Use Perplexity to find information about climate change published in the past week"
- "Search for recent research papers on quantum computing from the past month"
API Reference
Tool: search_web(query: str, recency: str = "month") -> str
Search the web using Perplexity API and return results.
Parameters:
query
: The search query stringrecency
: Filter results by time period - 'day', 'week', 'month' (default), or 'year'
Returns: A comprehensive text response containing:
- A detailed summary of the search results
- Key facts and information found
- Sources with URLs for verification
- Any conflicting information if present
Prompt: web_search_prompt(query: str, recency: str = "month") -> str
Creates a prompt template for searching the web with Perplexity.
Parameters:
query
: The search queryrecency
: Time period filter - 'day', 'week', 'month' (default), or 'year'
Returns: A formatted prompt string that instructs the AI to:
- Search for the specified query
- Focus on results from the specified time period
- Summarize key findings
- Highlight important facts
- Mention conflicting information
- Cite sources with links
License
MIT
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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