Building an MCP server so Claude can query my SaaS analytics directly
A new Model Context Protocol (MCP) server has been launched for analytics SaaS, allowing AI clients like Claude to directly query data. The server enables users to access traffic, revenue, and funnel information through a structured interface. This development has led to unexpected user interactions, showcasing the flexibility of the MCP framework.
- ▪The MCP server allows AI clients to invoke tools and read resources from external servers.
- ▪Users can query specific data such as pageview counts and conversion rates without needing pre-built dashboards.
- ▪Claude can chain multiple tool calls to provide comprehensive insights based on user requests.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3772909) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Zenovay Posted on May 23 Building an MCP server so Claude can query my SaaS analytics directly #ai #mcp #typescript #saas Last week I shipped a Model Context Protocol (MCP) server for my analytics SaaS. Now Claude Desktop, Cursor, and any MCP compatible client can query traffic, revenue, and funnel data directly. This is a walkthrough of how I built it, what worked, and a couple of patterns that surprised me.
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