Perplexity AI

by DaInfernalCoder

252 stars
1 downloads
Not rated
GitHub

About

This TypeScript-based server implements a simple notes system using MCP concepts, enabling users to create, list, and summarize text notes through natural language prompts.

Details

Author
DaInfernalCoder
Repository
DaInfernalCoder/perplexity-mcp
GitHub stars
252
Downloads
1
License
MIT License
Categories
Search, AI, Other
Tags
#research, #web-research

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Perplexity AI
    Command (node, npx, python, etc.) npx
    Arguments
    • Argument 1 -y
    • Argument 2 perplexity-mcp
    Environment
    • PERPLEXITY_API_KEY your_api_key

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

1. Prerequisites
- Node.js (from nodejs.org)
- Perplexity API key (from perplexity.ai/settings/api)
- clone the repo somewhere

2. Configure MCP Settings

Add to your MCP settings file (location varies by platform):

{
  "mcpServers": {
    "perplexity": {
      "command": "node",
      "args": ["/path/to/perplexity-server/build/index.js"],
      "env": {
        "PERPLEXITY_API_KEY": "YOUR_API_KEY_HERE"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Or use NPX to not have to install it locally (recommended for macos):

{
  "mcpServers": {
    "perplexity": {
      "command": "npx",
      "args": [
        "-y",
        "perplexity-mcp"
      ],
      "env": {
        "PERPLEXITY_API_KEY": "your_api_key"
      }
    }
  }
}
In case the MCP Client is not able to parse the Perplexity API Key from the environment using methods like "${env:PERPLEXITY_API_KEY}" common in modern AI Coding Agents (e.g. Kiro), there are two fallback solutions:

Command-Line Argument: Pass the API key directly as a command-line argument, and you can even try to see whether "${env:PERPLEXITY_API_KEY}" works in there.

{
  "mcpServers": {
    "perplexity": {
      "command": "node",
      "args": [
        "/path/to/perplexity-server/build/index.js",
        "--api-key",
        "your_api_key_here"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Read an explicit .env File: specify the location of the project .env file with the environment variables and API keys for your current project with the --cwd command-line argument, and the MCP Server will read the .env file from the directory finding the Perplexity API Key from there.

{
  "mcpServers": {
    "perplexity": {
      "command": "node",
      "args": [
        "/path/to/perplexity-server/build/index.js",
        "--cwd",
        "/path/to/your/project"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}
Priority Order: Command-line argument > Environment variable > .env file with --cwd (path needed)

search

Quick search for simple queries and basic information lookup. Parameters: query (string), force_model (optional boolean)

reason

Handles complex, multi-step tasks requiring detailed analysis. Parameters: query (string), force_model (optional boolean)

deep_research

Conducts comprehensive research and generates detailed reports. Parameters: query (string), focus_areas (array of strings), force_model (optional boolean)

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "perplexity ai": {
            "env": {
                "PERPLEXITY_API_KEY": "your_api_key"
            },
            "args": [
                "-y",
                "perplexity-mcp"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": {
        "PERPLEXITY_API_KEY": "YOUR_API_KEY_HERE"
    },
    "args": [
        "/path/to/perplexity-server/build/index.js"
    ],
    "command": "node"
}

Macos

{
    "env": {
        "PERPLEXITY_API_KEY": "your_api_key"
    },
    "args": [
        "-y",
        "perplexity-mcp"
    ],
    "command": "npx"
}

Windows

{
    "env": {
        "PERPLEXITY_API_KEY": "YOUR_API_KEY_HERE"
    },
    "args": [
        "/c",
        "node",
        "/path/to/perplexity-server/build/index.js"
    ],
    "command": "cmd"
}

Perplexity MCP Server

An intelligent research assistant powered by Perplexity's specialized AI models. Features automatic query complexity detection to route requests to the most appropriate model for optimal results. Unlike the Official server, it has search capabilities FOR EVERY TASK, essentially

It also forces the agent using the MCP to be specific

Tools

1. Search (Sonar Pro)

Quick search for simple queries and basic information lookup. Best for straightforward questions that need concise, direct answers.
const result = await use_mcp_tool({
  server_name: "perplexity",
  tool_name: "search",
  arguments: {
    query: "What is the capital of France?",
    force_model: false // Optional: force using this model even if query seems complex
  }
});

2. Reason (Sonar Reasoning Pro)

Handles complex, multi-step tasks requiring detailed analysis. Perfect for explanations, comparisons, and problem-solving.
const result = await use_mcp_tool({
  server_name: "perplexity",
  tool_name: "reason",
  arguments: {
    query: "Compare and contrast REST and GraphQL APIs, explaining their pros and cons",
    force_model: false // Optional: force using this model even if query seems simple
  }
});

3. Deep Research (Sonar Deep Research)

Conducts comprehensive research and generates detailed reports. Ideal for in-depth analysis of complex topics.
const result = await use_mcp_tool({
  server_name: "perplexity",
  tool_name: "deep_research",
  arguments: {
    query: "The impact of quantum computing on cryptography",
    focus_areas: [
      "Post-quantum cryptographic algorithms",
      "Timeline for quantum threats",
      "Practical mitigation strategies"
    ],
    force_model: false // Optional: force using this model even if query seems simple
  }
});

Setup

1. Prerequisites
- Node.js (from nodejs.org)
- Perplexity API key (from perplexity.ai/settings/api)
- clone the repo somewhere

2. Configure MCP Settings

Add to your MCP settings file (location varies by platform):

{
  "mcpServers": {
    "perplexity": {
      "command": "node",
      "args": ["/path/to/perplexity-server/build/index.js"],
      "env": {
        "PERPLEXITY_API_KEY": "YOUR_API_KEY_HERE"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Or use NPX to not have to install it locally (recommended for macos):

{
  "mcpServers": {
    "perplexity": {
      "command": "npx",
      "args": [
        "-y",
        "perplexity-mcp"
      ],
      "env": {
        "PERPLEXITY_API_KEY": "your_api_key"
      }
    }
  }
}
In case the MCP Client is not able to parse the Perplexity API Key from the environment using methods like "${env:PERPLEXITY_API_KEY}" common in modern AI Coding Agents (e.g. Kiro), there are two fallback solutions:

Command-Line Argument: Pass the API key directly as a command-line argument, and you can even try to see whether "${env:PERPLEXITY_API_KEY}" works in there.

{
  "mcpServers": {
    "perplexity": {
      "command": "node",
      "args": [
        "/path/to/perplexity-server/build/index.js",
        "--api-key",
        "your_api_key_here"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Read an explicit .env File: specify the location of the project .env file with the environment variables and API keys for your current project with the --cwd command-line argument, and the MCP Server will read the .env file from the directory finding the Perplexity API Key from there.

{
  "mcpServers": {
    "perplexity": {
      "command": "node",
      "args": [
        "/path/to/perplexity-server/build/index.js",
        "--cwd",
        "/path/to/your/project"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}
Priority Order: Command-line argument > Environment variable > .env file with --cwd (path needed)

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