I threw away my analytics dashboard and replaced it with 42 MCP tools

Name: I threw away my analytics dashboard and replaced it with 42 MCP tools
Author: hholen

by hholen·May 22, 2026·5 points·4 comments

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AI Analysis

●●SolidNiche GemShip It

Ditched the dashboard entirely to serve analytics data strictly to AI agents via MCP.

Strengths

•Token-efficient responses capped at 60 tokens per snapshot reduce agent inference costs.
•Human-in-the-loop OTP auth bridges agent actions with security requirements cleanly and effectively.
•Pivot from dashboard to headless API validates actual user behavior over assumptions.

Weaknesses

•Web analytics is a commodity; differentiation relies entirely on MCP adoption growing.
•Agent-only interface limits utility for humans who still need to verify data.

Post Description

Back in October, I built a web analytics tool. It had two distinguishing features: it was cheap, and it had a weekly AI email summary so you wouldn't have to check your dashboards. Turned out that cheap made no difference, but the few users I had really liked the email digest.

The world moves fast these days, and suddenly I found myself experimenting with agents, and doing all my work in Claude Code, so I decided to throw out everything and rebuild the tool as lodd.dev, a headless web analytics tool for agents. 42 MCP tools and a full API that lets agents call and act on analytics data as part of their processes.

I've tried to optimise it for agent usage, so efficient responses (a snapshot is 60ish tokens), an llms.txt to guide the agent to handle setup, read only for simplified auth, and both a hosted oAuth (for desktop and mobile apps) and stdio version using an API key for terminal use. Human in the loop authentication using OTP in an email.

Explicitly asking the agent to use it works really well, and I particularly like combining with other context sources like GSC or commit history, but it's been a little bit of a challenge having the agent call it unprompted. A few lines at the top of a Claude.md file has made a difference though.

I'd love to hear what value, if any, you see from being able to get analytics data in the same conversation as your code (or other automatic workflows)?