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Perplexity MCP

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perplexityai

The official MCP server implementation for the Perplexity API Platform

Publisherperplexityai
Repositorymodelcontextprotocol
LanguageTypeScript
Forks
324
Stars
2.2K
Available tools
0
Transport typestdio
Categories
LicenseMIT
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  • Connect tools to AI workflows

    Perplexity MCP exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    2.2K stars and 324 forks from the linked repository.

Perplexity API Platform MCP Server

Install in Cursor   Install in VS Code   Add to Kiro   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

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

Or install via plugin:

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

Codex

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

Cursor, Claude Desktop, Kiro, Windsurf, and VS Code

Most clients can be configured manually using the same mcpServers wrapper in their client config (as shown for Cursor). If a client has a different schema, check its docs for the exact wrapper format.

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

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

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:

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

If your proxy needs a username and password, use:

bash
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

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

Node.js

bash
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.


Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "perplexity": {
      "command": "npx",
      "args": [
        "-y",
        "perplexity-mcp@latest"
      ]
    }
  }
}

Use Perplexity MCP MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Perplexity MCP is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Perplexity MCP as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Perplexity MCP MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "perplexity-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "null"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Perplexity MCP MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Perplexity MCP MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Perplexity MCP to help me with this task?
Perplexity MCP
Sure. I read it.
Here is what I found using Perplexity MCP.

Frequently asked questions

What is the Perplexity MCP MCP server used for?

Perplexity MCP is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Perplexity MCP MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Perplexity MCP with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Perplexity MCP MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Perplexity MCP connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Perplexity MCP MCP to TypingMind?

Perplexity MCP runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Perplexity MCP MCP provide in TypingMind?

Perplexity MCP exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Perplexity MCP MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Perplexity MCP requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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