Mcp Analytics

Install Mcp Analytics

Install instructions vary — visit the GitHub repository for the latest install command. Most MCP servers follow one of three patterns: npx -y <package> for Node, uvx <package> for Python, or docker run <image> for containerized servers.

Use Mcp Analytics with Claude Code

Once the server is on your machine, register it with Claude Code so the agent can call it like any other tool. The general pattern is:

claude mcp add embeddedlayers-mcp-analytics -- <install-command>

After it's registered, run claude and ask anything that requires Mcp Analytics. Claude Code will negotiate the MCP handshake and surface the server's tools, prompts, and resources to the model automatically. See our Claude Code MCP guide for environment variables, scope flags, and credential handling.

What this server is for

Mcp Analytics sits in the customer data platforms category. It's community-maintained — check the repo's last-commit date and open issues before depending on it in production. The full description from the source list:

Statistical analysis, forecasting, and ML for business data (Shopify, Stripe, WooCommerce, eBay, GA4, Search Console). Upload a CSV or connect live data sources — ask a question in Claude or Cursor, get an interactive HTML report.

FAQ

Is Mcp Analytics free?

Yes — every MCP server in the ClawHire directory is open-source or freely available. Some servers proxy to paid APIs (you supply your own keys), but the server itself is free.

Does it work with Claude Desktop / Cursor / Windsurf?

If a client speaks the Model Context Protocol, it can use this server. The transport (stdio vs SSE vs HTTP) needs to match what the client supports, but the server itself is client-agnostic.

How do I report a bug or contribute?

Open an issue or PR on the GitHub repository.