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Plausible Model Context Protocol Server: Scalable & Secure Integration - MCP Implementation

Plausible Model Context Protocol Server: Scalable & Secure Integration

Powering seamless integration with Plausible API's real-time analytics, this MCP server delivers scalable, secure solutions for developers needing future-proof infrastructure." )

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About Plausible Model Context Protocol Server

What is Plausible Model Context Protocol Server: Scalable & Secure Integration?

This server acts as a bridge between AI models and the Plausible Analytics ecosystem. Imagine it as a data-savvy intermediary that lets your AI query website metrics without needing a PhD in API gymnastics. It’s like giving your machine learning models a secret decoder ring for web analytics, all while keeping security protocols tighter than a squirrel’s acorn stash.

How to use Plausible Model Context Protocol Server: Scalable & Secure Integration?

Start by configuring your Claude Desktop MCP Server with this magical incantation:


{
  "mcpServers": {
    "mcp-plausible-local": {
      "command": "node",
      "args": ["/your/project/path/index.js"],
      "env": {
        "PLAUSIBLE_API_URL": "https://plausible.io/api/v2", 
        "PLAUSIBLE_API_KEY": "your-secret-sauce-here"
      }
    }
  }
}

Once enchanted, ask your AI to perform tasks like: “Show me avimbu.com’s bounce rate while wearing my analytics wizard hat”. Just remember to run node dist/index.js and keep npm run watch as your sidekick in another terminal—teamwork makes the dream work!

Plausible Model Context Protocol Server Features

Key Features of Plausible Model Context Protocol Server: Scalable & Secure Integration?

  • Scalable like a cloud in a hurricane: Handles analytics queries with the grace of a sloth on espresso
  • Security that’s no joke: Uses API keys that make cryptographers blush
  • Locally lovable: Perfect for testing without exposing your data to the wild west of the internet
  • AI-native: Speaks fluent machine learning model, no translation required

Use cases of Plausible Model Context Protocol Server: Scalable & Secure Integration?

Plausible Model Context Protocol Server FAQ

FAQ from Plausible Model Context Protocol Server: Scalable & Secure Integration?

  • Q: Do I need a degree in rocket science to set this up?
    A: Nope—just basic Node.js knowledge and a sense of adventure. We’ll hold your hand through the forest of config files.
  • Q: What happens if my API key gets lost?
    A: Panic, then regenerate it. The server won’t judge your temporary existential crisis.
  • Q: Can I query data from multiple domains?
    A: Absolutely! Just configure each domain like adding ingredients to a data stew.

Still scratching your head? Reach out to our support team via AVIMBU—we’re here to turn confusion into clarity (and sometimes memes).

Content

Plausible Model Context Protocol Server

MCP Interaction Server for Plausible Analytics

A Model Context Protocol (MCP) server implementation for interacting with the Plausible Analytics API. This server allows AI models to query analytics data from Plausible.

Local Development

In order to run this client locally, add the following configuration to your Claude Desktop MCP Server config file:

 {
  "mcpServers": {
    "mcp-plausible-local": {
      "command": "node",
      "args": ["/path/to/project/dist/index.js"], <---- replace this with your project path
      "env": {
        "PLAUSIBLE_API_URL": "https://plausible.io/api/v2", 
        "PLAUSIBLE_API_KEY": "test_api_key"
      }
    },
  }
}

After this, you should be able to test this implementation in your Claude Desktop App using example prompts like:

  • "Can you provide a daily overview of my analytics for avimbu.com?"
  • "Can you generate relevant analytics reports from my Plausible account for the domain avimbu.com?"

Running the server locally:

node dist/index.js

With the build in another terminal

npm run watch

Contact

If you have questions, feel free to contact us via AVIMBU.

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