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Umami Analytics

This MCP server implementation provides a bridge to Umami analytics data, enabling AI assistants to analyze website performance and user behavior. Developed by jakeyShakey, it offers tools for retrieving website statistics, metrics, pageview data, and user session information. The server integrates with the Umami API and incorporates semantic search capabilities for efficient analysis of user journeys. It also features web crawling functionality to capture screenshots and HTML source code of webpages. Built with Python and designed for easy setup within Claude Desktop, this implementation is particularly useful for generating data-driven insights, creating custom analytics dashboards, and improving website performance based on user interaction patterns.

Cognium trust score

76%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Repository: github.com/jakeyshakey/umami_mcp_server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Umami Analytics from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"