search-webai-ml

Perplexity MCP

Perplexity AI

by Perplexity AI

Official Perplexity API MCP server implementation. Perform AI-powered web searches with real-time information, citations

Official Perplexity API MCP server implementation. Perform AI-powered web searches with real-time information, citations, and deep research capabilities through the Model Context Protocol. 1,900+ GitHub stars.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Official Perplexity implementationMultiple AI models for different use cases1,900+ GitHub stars

best for

  • / Researchers needing current information with sources
  • / Content creators fact-checking claims
  • / Analysts requiring comprehensive market research

capabilities

  • / Search the web with real-time results and citations
  • / Ask conversational questions with web context
  • / Conduct deep research with comprehensive analysis
  • / Perform advanced reasoning on complex problems

what it does

Performs AI-powered web searches with real-time information and citations using Perplexity's search models. Provides different search modes from quick queries to deep research analysis.

about

Perplexity MCP is an official MCP server published by Perplexity AI that provides AI assistants with tools and capabilities via the Model Context Protocol. Official Perplexity API MCP server implementation. Perform AI-powered web searches with real-time information, citations It is categorized under search web, ai ml.

how to install

You can install Perplexity MCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Perplexity MCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Perplexity API Platform MCP Server

Install in Cursor   Install in VS Code   npm version

The official MCP server implementation for the Perplexity API Platform, providing AI assistants with real-time web search, reasoning, and research capabilities through Sonar models and the Search API.

Available Tools

perplexity_search

Direct web search using the Perplexity Search API. Returns ranked search results with metadata, perfect for finding current information.

perplexity_ask

General-purpose conversational AI with real-time web search using the sonar-pro model. Great for quick questions and everyday searches.

perplexity_research

Deep, comprehensive research using the sonar-deep-research model. Ideal for thorough analysis and detailed reports.

perplexity_reason

Advanced reasoning and problem-solving using the sonar-reasoning-pro model. Perfect for complex analytical tasks.

[!TIP] Available as an optional parameter for perplexity_reason and perplexity_research: strip_thinking

Set to true to remove <think>...</think> tags from the response, saving context tokens. Default: false

Configuration

Get Your API Key

  1. Get your Perplexity API Key from the API Portal
  2. Replace your_key_here in the configurations below with your API key
  3. (Optional) Set timeout: PERPLEXITY_TIMEOUT_MS=600000 (default: 5 minutes)
  4. (Optional) Set custom base URL: PERPLEXITY_BASE_URL=https://your-custom-url.com (default: https://api.perplexity.ai)
  5. (Optional) Set log level: PERPLEXITY_LOG_LEVEL=DEBUG|INFO|WARN|ERROR (default: ERROR)

Claude Code

claude mcp add perplexity --env PERPLEXITY_API_KEY="your_key_here" -- npx -y @perplexity-ai/mcp-server

Or install via plugin:

export PERPLEXITY_API_KEY="your_key_here"
claude
# Then run: /plugin marketplace add perplexityai/modelcontextprotocol
# Then run: /plugin install perplexity

Cursor, Claude Desktop & Windsurf

We recommend using the one-click install badge at the top of this README for Cursor.

For manual setup, all these clients use the same mcpServers format:

ClientConfig File
Cursor~/.cursor/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "perplexity": {
      "command": "npx",
      "args": ["-y", "@perplexity-ai/mcp-server"],
      "env": {
        "PERPLEXITY_API_KEY": "your_key_here"
      }
    }
  }
}

VS Code

We recommend using the one-click install badge at the top of this README for VS Code, or for manual setup, add to .vscode/mcp.json:

{
  "servers": {
    "perplexity": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@perplexity-ai/mcp-server"],
      "env": {
        "PERPLEXITY_API_KEY": "your_key_here"
      }
    }
  }
}

Codex

codex mcp add perplexity --env PERPLEXITY_API_KEY="your_key_here" -- npx -y @perplexity-ai/mcp-server

Other MCP Clients

Most clients can be manually configured to use the mcpServers wrapper in their configuration file (like Cursor). If your client doesn't work, check its documentation for the correct wrapper format.

Proxy Setup (For Corporate Networks)

If you are running this server at work—especially behind a company firewall or proxy—you may need to tell the program how to send its internet traffic through your network's proxy. Follow these steps:

1. Get your proxy details

  • Ask your IT department for your HTTPS proxy address and port.
  • You may also need a username and password.

2. Set the proxy environment variable

The easiest and most reliable way for Perplexity MCP is to use PERPLEXITY_PROXY. For example:

export PERPLEXITY_PROXY=https://your-proxy-host:8080

If your proxy needs a username and password, use:

export PERPLEXITY_PROXY=https://username:password@your-proxy-host:8080

3. Alternate: Standard environment variables

If you'd rather use the standard variables, we support HTTPS_PROXY and HTTP_PROXY.

[!NOTE] The server checks proxy settings in this order: PERPLEXITY_PROXYHTTPS_PROXYHTTP_PROXY. If none are set, it connects directly to the internet. URLs must include https://. Typical ports are 8080, 3128, and 80.

HTTP Server Deployment

For cloud or shared deployments, run the server in HTTP mode.

Environment Variables

VariableDescriptionDefault
PERPLEXITY_API_KEYYour Perplexity API keyRequired
PERPLEXITY_BASE_URLCustom base URL for API requestshttps://api.perplexity.ai
PORTHTTP server port8080
BIND_ADDRESSNetwork interface to bind to0.0.0.0
ALLOWED_ORIGINSCORS origins (comma-separated)*

Docker

docker build -t perplexity-mcp-server .
docker run -p 8080:8080 -e PERPLEXITY_API_KEY=your_key_here perplexity-mcp-server

Node.js

export PERPLEXITY_API_KEY=your_key_here
npm install && npm run build && npm run start:http

The server will be accessible at http://localhost:8080/mcp

Troubleshooting

  • API Key Issues: Ensure PERPLEXITY_API_KEY is set correctly
  • Connection Errors: Check your internet connection and API key validity
  • Tool Not Found: Make sure the package is installed and the command path is correct
  • Timeout Errors: For very long research queries, set PERPLEXITY_TIMEOUT_MS to a higher value
  • Proxy Issues: Verify your PERPLEXITY_PROXY or HTTPS_PROXY setup and ensure api.perplexity.ai isn't blocked by your firewall.
  • EOF / Initialize Errors: Some strict MCP clients fail because npx writes installation messages to stdout. Use npx -yq instead of npx -y to suppress this output.

For support, visit community.perplexity.ai or file an issue.


FAQ

What is the Perplexity MCP MCP server?
Perplexity MCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Perplexity MCP?
This profile displays 33 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.733 reviews
  • Nia Rao· Dec 28, 2024

    Strong directory entry: Perplexity MCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Chaitanya Patil· Dec 20, 2024

    We evaluated Perplexity MCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chen Agarwal· Dec 16, 2024

    Perplexity MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sophia Kapoor· Nov 19, 2024

    Perplexity MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Piyush G· Nov 11, 2024

    Useful MCP listing: Perplexity MCP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Rahul Santra· Nov 7, 2024

    We wired Perplexity MCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ira Verma· Nov 7, 2024

    Strong directory entry: Perplexity MCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Xiao Chawla· Nov 3, 2024

    Perplexity MCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Pratham Ware· Oct 26, 2024

    Perplexity MCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Nia Johnson· Oct 22, 2024

    We wired Perplexity MCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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