mcp-analytics/server.json at main · embeddedlayers/mcp-analytics · GitHub

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{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-07-09/server.schema.json",
  "name": "ai.mcpanalytics/analytics",
  "description": "Analytics for business data: upload CSV or connect GA4/GSC, run ML/stats, get HTML reports.",
  "version": "1.0.5",
  "author": {
    "name": "MCP Analytics",
    "email": "support@mcpanalytics.ai",
    "url": "https://mcpanalytics.ai"
  },
  "license": "MIT",
  "homepage": "https://mcpanalytics.ai",
  "repository": {
    "url": "https://github.com/embeddedlayers/mcp-analytics",
    "source": "github"
  },
  "categories": [
    "analytics",
    "data-science",
    "statistics",
    "machine-learning"
  ],
  "keywords": [
    "statistics",
    "machine-learning",
    "regression",
    "clustering",
    "time-series",
    "data-analysis",
    "arima",
    "xgboost",
    "bayesian",
    "oauth2",
    "encrypted"
  ],
  "packages": {
    "npm": "@mcp-analytics/mcp-analytics"
  },
  "remotes": [
    {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@mcp-analytics/mcp-analytics"],
      "env": {
        "MCP_ANALYTICS_API_KEY": "{api_key}"
      }
    },
    {
      "type": "streamable-http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "authentication": {
        "type": "api-key",
        "header": "X-API-Key"
      }
    },
    {
      "type": "streamable-http",
      "url": "https://api.mcpanalytics.ai/auth0",
      "authentication": {
        "type": "oauth2",
        "authorizationUrl": "https://api.mcpanalytics.ai/oauth2/authorize",
        "tokenUrl": "https://api.mcpanalytics.ai/oauth2/token",
        "scopes": ["openid", "profile", "email", "execute:tools"],
        "pkce": true
      }
    },
    {
      "type": "streamable-http",
      "url": "https://api.mcpanalytics.ai/mcp/discover",
      "authentication": {
        "type": "none"
      }
    }
  ],
  "capabilities": {
    "tools": true,
    "resources": true,
    "prompts": true
  },
  "examples": [
    {
      "title": "Run Linear Regression",
      "description": "Analyze relationships between variables with linear regression",
      "code": "Use discover_tools('predict sales regression') then tools_run with your dataset"
    },
    {
      "title": "Customer Segmentation",
      "description": "Segment customers using K-means clustering",
      "code": "Use tools_run with 'analytics__ml__clustering__kmeans' on customer data"
    },
    {
      "title": "Time Series Forecasting",
      "description": "Forecast future values with ARIMA",
      "code": "Use tools_run with 'analytics__statistical__time_series__arima' on historical data"
    }
  ],
  "documentation": {
    "quickstart": "https://mcpanalytics.ai/docs/quickstart",
    "tools": "https://mcpanalytics.ai/tools",
    "api": "https://api.mcpanalytics.ai/docs"
  },
  "support": {
    "issues": "support@mcpanalytics.ai",
    "email": "support@mcpanalytics.ai"
  }
}