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Perplexity Sonar MCP Server

Perplexity Sonar MCP Server

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github.com/feloresAI & Agents9Updated 82w ago

About Perplexity Sonar MCP Server

Perplexity Sonar MCP Server connects Perplexity Sonar models and web search to MCP clients such as Claude Desktop. It is intended for queries and research requiring current information or citations, with options for models, search scope, recency, and response format.

Key features

  1. 01Use multiple Sonar models
  2. 02Search the web in real time
  3. 03Filter searches by domain and recency
  4. 04Choose Markdown or JSON output
  5. 05Return related questions and images

Use cases

  1. 01Check recent news or research developments
  2. 02Conduct cited in-depth research
  3. 03Restrict searches to selected websites
  4. 04Request model responses in JSON

MCP support

The MCP server provides a perplexity-chat tool to Claude Desktop and other MCP clients, with Sonar model selection and configurable search and response parameters.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Perplexity Sonar MCP Server

An MCP server implementation that brings the power of Perplexity's Sonar models to Claude Desktop and other MCP clients. Unlike traditional MCP servers, this implementation provides access to Perplexity's advanced AI models with web search capabilities, allowing Claude to perform real-time web searches and provide up-to-date information during conversations.

Why Perplexity Sonar MCP?

  • Real-time Web Search: Access current information from the web during conversations
  • Multiple Models: Choose from various Sonar models to fit your needs:
    • sonar: Balanced model for general use
    • sonar-pro: Enhanced capabilities for complex tasks
    • sonar-reasoning: Specialized in logical reasoning and analysis
    • sonar-deep-research: In-depth research with comprehensive citations
  • Rich Parameters: Fine-tune your queries with extensive parameters:
    • Control search domains and recency
    • Adjust response format (markdown/JSON)
    • Manage temperature and token generation
    • Get related questions and images
  • Seamless Integration: Works natively with Claude Desktop and other MCP clients

Requirements

To verify your Node.js installation:

node --version  # Should be 18.0.0 or higher

If Node.js is not installed or needs updating:

  1. Download from nodejs.org
  2. Follow the installation instructions for your operating system
  3. Restart your terminal after installation

Usage

With Claude Desktop
  1. Edit your Claude Desktop configuration file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  2. Add the following configuration:

    {
      "mcpServers": {
        "perplexity": {
          "command": "npx",
          "args": [
            "-y",
            "@felores/perplexity-sonar-mcp"
          ],
          "env": {
            "PERPLEXITY_API_KEY": "your_api_key_here"
          }
        }
      }
    }
    
  3. Restart Claude Desktop

Standalone Mode

You can also run the server in standalone mode with HTTP/SSE support:

PERPLEXITY_API_KEY=your_api_key_here perplexity-sonar-mcp

This will start the server on port 3000 by default. You can specify a different port:

PERPLEXITY_API_KEY=your_api_key_here PORT=8080 perplexity-sonar-mcp

API Reference

The server exposes the following MCP tool:

perplexity-chat

Parameters:

  • model (optional): Model to use (default: "sonar")
    • Options:
      • sonar: Balanced model for general use
      • sonar-pro: Enhanced capabilities for complex tasks
      • sonar-reasoning: Specialized in logical reasoning
      • sonar-deep-research: In-depth research with citations
  • messages: Array of message objects with:
    • role: "system" | "user" | "assistant"
    • content: string
  • temperature (optional): Controls randomness (0-2)
    • Lower values (e.g., 0.3) for more focused responses
    • Higher values (e.g., 0.8) for more creative responses
  • max_tokens (optional): Maximum tokens to generate
  • top_p (optional): Controls diversity via nucleus sampling (0-1)
  • search_domain_filter (optional): Array of domains to limit citations to
    • Example: ["wikipedia.org", "github.com"]
  • return_images (optional): Whether to return images from search results
  • return_related_questions (optional): Whether to return related questions
  • search_recency_filter (optional): Filter search results by recency
    • Options: "month", "week", "day", "hour"
  • top_k (optional): Maximum number of search results to consider
  • stream (optional): Whether to stream the response
  • presence_penalty (optional): Penalizes token presence
  • frequency_penalty (optional): Penalizes token frequency
  • output_format (optional): Response format ("json" or "markdown", default: "markdown")

Example Queries

Here are some examples of what you can ask Claude using this server:

  1. Basic search with default model: "What are the latest developments in quantum computing?"

  2. Deep research with citations: "Using sonar-deep-research, explain the current state of fusion energy."

  3. Domain-specific search: "Search only on arxiv.org and nature.com for recent papers about large language models."

  4. Recent news search: "What happened in AI research this week? Use search_recency_filter: 'week'"

Development

  1. Clone the repository:

    git clone https://github.com/felores/perplexity-sonar-mcp.git
    cd perplexity-sonar-mcp
    
  2. Install dependencies:

    npm install
    
  3. Build the project:

    npm run build
    
  4. Run in development mode:

    npm run dev
    

Troubleshooting

If you encounter issues:

  1. Verify your API key is correct
  2. Check Node.js version compatibility
  3. Look for errors in Claude Desktop logs:
    • macOS: ~/Library/Logs/Claude/mcp.log
    • Windows: %APPDATA%\Claude\logs\mcp.log
  4. Try running in standalone mode to isolate issues

License

MIT

Comments

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New to MCP?

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.