6 posts tagged with "Analytics"

Housing research questions are easy to ask and easy to answer badly.

"Is this county affordable?" "What does HUD say about rent here?" "Which income limit should I use?" "How much cost burden shows up in CHAS?"

A language model alone will blur Fair Market Rent, income limits, MTSP tables, and CHAS affordability data into one vague paragraph. The HUD Housing Data MCP server pulls the official HUD rows first, then explains what they mean — with geography and year range spelled out.

TL;DR​

• Query 30.8 million EPC certificates, 2.7 million UK postcodes, and 1.34 million persisted Land Registry–EPC matches through the UK Property Intelligence app and MCP server.
• Resolve an address or postcode, pull HM Land Registry sold prices, join EPC floor area where the match is strong, and return price-per-square-foot bands with explicit confidence flags—not a black-box valuation.
• Built for lenders, property analysts, retrofit planners, and AI agents who need show your working evidence before formal RICS sign-off.

Most AI valuation demos make the same mistake. A user types an address, the model returns a number, and everyone pretends the answer came from evidence.

That is backwards. UK property questions are only useful when the agent can show its working: nearby sold prices, EPC floor area, property type, transfer dates, postcode geography, match confidence, and the gaps where public data is thin.

We built UK Property Intelligence around that evidence loop — a bounded, inspectable report from sold prices, EPC records, and postcode context, not a false-certainty number.

Snowflake doesn't have an official MCP server. For a platform where most users interact through SQL, that's a meaningful gap — every question an analyst has starts with "what tables do we have?" and ends with a query, and that's exactly the workflow MCP is built for.

MCPBundles provides a purpose-built Snowflake toolset that connects your AI agent directly to your Snowflake account through the SQL REST API. Your AI can explore databases, navigate schemas, inspect table structures, execute arbitrary SQL, manage warehouses, and review query history — all authenticated with a Programmatic Access Token.

Google Analytics is overkill for most sites. You just want to know how many people visited, where they came from, and which pages they read. Instead you get 50 different reports, cookie consent banners everywhere, and a dashboard that takes five minutes to load.

So we built 17 MCP tools for Plausible Analytics. Now you can check your site stats through conversation with Claude. Simple, privacy-focused analytics without the complexity. No cookies, no invasive tracking, no endless dashboards.

SEO monitoring is tedious. You're checking Search Console for rankings, analyzing traffic drops, hunting down indexing issues. Trying to figure out why some pages rank but don't get clicks. It's a lot of clicking around different reports and trying to connect the dots.

So we built 20 MCP tools for Google Search Console. Now you can manage your entire SEO workflow through conversation with Claude. Check rankings, diagnose indexing problems, find optimization opportunities, track trends—all by just asking. No more jumping between reports.

You can't improve what you don't measure. But measuring is boring.

The Reporting & Analytics MCP server bundle gives you 8 MCP tools for analyzing transactions, tracking revenue, monitoring events, and generating reports. It's everything you need to understand your business performance without spending hours in spreadsheets.