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ppl-ai
modelcontextprotocol

ppl-ai/modelcontextprotocol

4.3

research_and_data ai_chatbot

modelcontextprotocol is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of modelcontextprotocol and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The Perplexity Ask MCP Server integrates the Sonar API to provide Claude with real-time, web-wide research capabilities.

Try modelcontextprotocol with chat:

Tools

Functions exposed to the LLM to take actions

perplexity_ask

Engages in a conversation using the Sonar API. Accepts an array of messages (each with a role and content) and returns a ask completion response from the Perplexity model.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources

Author

ppl-ai

Claim Ownership

Verify you have write access to the repository

Repository

https://github.com/ppl-ai/modelcontextprotocol

GitHub Stars

1,479

License

MIT License

Last publish date

2025-03-10

Last update date

2025-08-08

Server configs

in claude desktop

{
  "mcpServers": {
    "perplexity-ask": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "PERPLEXITY_API_KEY",
        "mcp/perplexity-ask"
      ],
      "env": {
        "PERPLEXITY_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

via npx in claude desktop

{
  "mcpServers": {
    "perplexity-ask": {
      "command": "npx",
      "args": [
        "-y",
        "server-perplexity-ask"
      ],
      "env": {
        "PERPLEXITY_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

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