Claude-First Analytics MCP Server: Giving AI Agents Direct Access to Web Analytics Context
One developer took their existing analytics tool (which sent an AI summary to users every Sunday) and rebuilt it as a Claude-first MCP server. The core hypothesis: if your agent has access to web analytics, your code, your database, and other sources, it has better context to advise and improve your product.
What's in the MCP Server?
The new server — hosted at lodd.dev — exposes a set of tools that give Claude access to:
- Simple web analytics — standard pageviews, visitors, etc.
- Trackable links — analytics with UTM or similar tracking parameters.
- Product insight — usage data and trends.
These are exposed as MCP tools, meaning Claude can directly query them during a conversation or task. The author is experimenting with claude.md instructions to prompt Claude to actually use the context, but notes that hooks may be needed to ensure the agent acts on the data.
Why This Matters
Most AI coding agents today work with code context but lack real product/usage data. By bringing analytics into the MCP tool ecosystem, Claude can ground its suggestions in actual user behavior. For instance, an agent could recommend which feature to optimize based on real usage patterns, or suggest A/B test results to consider during a refactor.
Try It Yourself
You can point Claude to lodd.dev/llms.txt to pull the tool definitions, or explore the server at lodd.dev.
Who It's For
Developers building AI agent workflows who want their Claude agents to make data-informed decisions by having direct access to web analytics alongside code and database context.
📖 Read the full source: r/ClaudeAI
👀 See Also
Memex: Open-Source Memory Plugin for Claude Cowork
Memex is an open-source plugin that gives Claude Cowork persistent memory across sessions using a tiered context loading system. After running /memex:init once, Claude briefs itself in about 20 seconds per session and picks up where you left off.
OpenClaw Agent Memory Plugin: Persistent Context Across Sessions
A developer built a memory layer plugin for OpenClaw that injects relevant context from past conversations before each turn and stores new facts and events after each turn, solving the problem of agents forgetting everything between sessions.
MCP-India-Stack: Offline-first server for Indian financial data in AI agents
MCP-India-Stack is an offline-first MCP server that provides Indian financial and government API functionality without authentication or external API calls. It bundles datasets locally for tax calculations, validation tools, and lookups.
Open-source structural hallucination checker for AI agent pipelines
A new open-source tool provides four suppressors to catch structural failures in AI agent pipelines, including grounding enforcement, prompt injection detection, JSON validation, and tool response verification. Available as both a REST API and MCP server with a free tier of 500 requests/month.