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?"

An agent can only answer those questions well if it works from source data: HUD Fair Market Rents, standard income limits, MTSP income limits, geography identifiers, and CHAS affordability tables. A language model alone will blur those concepts together.

We rebuilt the HUD Housing Data MCP server around that evidence path, so agents can retrieve the HUD rows first and then explain what they mean.

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 the UK Property Intelligence MCP server around that evidence loop. The goal is not to manufacture certainty. The goal is to turn public house price data, EPC records, and postcode context into a bounded report an analyst can inspect.

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.