MCP Analytics

Provides end-to-end analytics from natural language questions to interactive reports by uploading data and running AI-powered analyses.

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Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "embeddedlayers-mcp-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.mcpanalytics.ai/auth0"
      ]
    }
  }
}

MCP Analytics MCP Server lets you connect a client to cloud-based AI-powered analytics, transforming natural language questions into actionable insights by securely uploading data and running automated analyses with interactive reports.

How to use

You will use an MCP client to connect to the MCP Analytics server, describe your business question in plain language, and let the system discover the best analytical approach. You can upload datasets securely, run analyses with optimal configurations, and view or share interactive reports that include AI-generated insights.

How to install

Prerequisites you need before starting include Node.js and npm on your development machine. Ensure you are on a supported version of Node.js and have access to install npm packages.

Add the MCP Analytics server configuration to your client project using the stdio workflow shown in the examples. The configuration connects your client to the MCP Analytics backend via the MCP remote runner.

Test the connection to confirm everything is wired correctly by executing the command below. This validates the MCP connection and authentication flow.

npx -y mcp-remote@latest https://api.mcpanalytics.ai/auth0

Additional notes

Configuration uses a local runner to connect to the server. You will typically add an mcpServers entry to your client’s config with command npx and the appropriate arguments to reach the server’s auth URL.

Available tools

tools.discover

Natural language tool discovery to identify suitable analytical approaches from user questions.

tools.run

Automated execution of analyses with optimal configuration based on discovered method.

tools.info

Access tool documentation for available capabilities and usage details.

datasets.upload

Secure data upload with encryption for analysis.

datasets.list

Manage and preview uploaded datasets.

datasets.read

Access and preview dataset content.

reports.view

Interactive visualization dashboard for shareable insights.

reports.search

Semantic search across previous analyses and reports.

billing

Usage and subscription management for the MCP Analytics service.

about

Platform information and status endpoints.

manual

Documentation access for users and developers.