MCP Analytics

Name: MCP Analytics
Author: embeddedlayers

embeddedlayersOfficial

Runs statistical analysis, forecasting and ML on CSV files or connected sources such as Shopify, Stripe and GA4, producing re-runnable reports.

Setup

Choose your client, copy the config, then fill in any required environment variables.

Add to Cursor Add to VS Code

claude mcp add --transport http analytics https://api.mcpanalytics.ai/mcp/api-key --header 'X-API-Key: <X_API_KEY>'

~/.codex/config.toml

[mcp_servers.analytics]
url = "https://api.mcpanalytics.ai/mcp/api-key"
http_headers = { X-API-Key = "<X_API_KEY>" }

# codex mcp add analytics --url https://api.mcpanalytics.ai/mcp/api-key

~/.cursor/mcp.json

{
  "mcpServers": {
    "analytics": {
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "<X_API_KEY>"
      }
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "analytics": {
      "type": "http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "<X_API_KEY>"
      }
    }
  }
}

~/.gemini/settings.json

{
  "mcpServers": {
    "analytics": {
      "httpUrl": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "<X_API_KEY>"
      }
    }
  }
}

claude_desktop_config.json · Customize › Connectors › Add custom connector

{
  "mcpServers": {
    "analytics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.mcpanalytics.ai/mcp/api-key",
        "--header",
        "X-API-Key:<X_API_KEY>"
      ]
    }
  }
}

.trae/mcp.json

{
  "mcpServers": {
    "analytics": {
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "<X_API_KEY>"
      }
    }
  }
}

Setup

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