The Model Context Protocol just got a major upgrade. MCP Apps (SEP-1865) is a new extension that lets MCP servers deliver interactive user interfaces directly to AI applications like Claude, ChatGPT, or Cursor.

This isn't just about pretty visuals. It's about giving your AI tools the ability to show data in ways that actually make sense—charts, tables, dashboards, forms—while maintaining the security and auditability that MCP was built on.

Deal flow management is messy. You're tracking companies, founders, opportunities, lists, notes, emails, meetings, calls. Jumping between screens trying to find who you talked to last week, what stage that deal is in, which companies need follow-up.

We built 35+ MCP tools for Affinity. Now you can manage your entire relationship intelligence workflow through conversation with Claude. Track companies, find people, manage opportunities, organize lists, review interactions. Just ask.

So we built an integration for Cursor's Cloud Agents API. Not because it was on some roadmap or anything. We did it because Cursor's literally our favorite coding tool and we use it every single day.

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.

Sales teams waste hours every day jumping between CRM screens. You know the drill. Checking lead statuses, scheduling follow-ups, updating pipelines, creating prospecting lists. It's exhausting and takes time away from actually selling.

So we built 32 MCP tools for NoCRM. Now you can manage your entire sales pipeline through conversation with Claude. Check lead statuses, schedule follow-ups, assign prospects, track activities. Just ask.

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.

Running a warehouse is complicated. Orders come in, stock moves around, suppliers need managing, and you're constantly jumping between screens trying to keep everything straight.

That's why we built 101 MCP tools for Picqer. Now you can manage your entire warehouse through conversation with Claude. Check stock levels, process orders, create purchase orders, track shipments—all by just asking.

There's a better way to organize MCP servers that solves the context rot problem plaguing AI workflows everywhere.

You've got PostgreSQL databases you query all the time. Maybe it's your local dev database running on your laptop. Maybe it's your production database on a remote server. You used to hook them up to a BI tool or write SQL queries manually.

Now you want to query them with AI instead. Ask questions in plain English, get answers back.

But Claude can't access localhost. ChatGPT can't connect to remote databases with username/password auth. They're stuck in their own environments.

Install mcpbundles-proxy. Problem solved.

OpenAI's Sora can generate videos from text prompts. Seriously impressive stuff. But the API's a bit clunky to work with directly.

That's why we built the Sora MCP bundle. 6 tools that let you create, remix, and manage AI-generated videos without touching code. Just tell the AI what you want and it handles the rest.

This video was generated using the Sora MCP bundle—we used our own tools to create it.