8 posts tagged with "AI"

Most design operations work is repetitive data movement. Audit your component library to find unused styles, then archive them. Sync design token updates from Figma variables to your codebase. Export every frame that matches a naming pattern as 2× PNG. Post review comments on every screen in a flows section. Attach dev resources (component mappings, Storybook links) to library components. Debug why a webhook stopped firing.

Each of those is a 30-minute task across Figma's UI, REST API docs, and your terminal — and a 2-minute task as a chat message — if your AI agent can actually call the Figma API at the right granularity. This guide is the use-case version of "AI + Figma": what you ask, what the agent does, what comes back. The protocol underneath is MCP (Model Context Protocol), the bundle is /skills/figma on MCPBundles, but the framing here is workflow-first.

Browser automation is how you test web apps end-to-end, scrape structured data from public sites, debug production issues by replaying user journeys, and automate repetitive form-filling workflows. Navigate to any page, read its content, click buttons, fill forms, take screenshots, inspect network traffic, run JavaScript, check console errors — all programmatically through natural language.

Playwright is the industry standard for browser automation: fast, reliable, cross-browser (Chrome, Firefox, WebKit), built for modern web apps. The MCPBundles browser bundles expose Playwright as MCP tools you can call from any AI agent, with two deployment modes: Local Browser (Chrome on your machine via the desktop proxy) and Remote Browser (cloud-hosted Chrome with no local install). This guide is the use-case version of "AI + Browser": what you ask, what the agent does, what comes back.

Tool overload is real.

It shows up as lag. Wrong tool picks. Weird, half-finished workflows. Or the model just dumps a wall of raw data at you and calls it a day.

We’ve always had a simple answer: keep bundles focused. 5–15 tools for one job.

That still works great.

But sometimes you do want a big bundle. A real “everything I use for this role” bundle.

Now you can do that without turning your AI into a confused mess.

Every bundle can run in Dynamic.

Tool overload is real. Give AI 50 tools and it gets confused—slow, wrong tool selections, data dumps instead of answers. We've always solved this with focused bundles: give AI 5-15 tools for a specific workflow, and it works great.

But what about when you need data from multiple services at once?

That's why we built the Hub. It uses programmatic tool calling—AI discovers tools on-demand and writes code to orchestrate them—so you can work across all your connected services without the overload problem.

This builds on recent research from Anthropic—their work on advanced tool use and code execution with MCP. We took these patterns and made them accessible to anyone with an MCPBundles account.

Ask your AI about pipeline data and get a real dashboard. Not text. Not a description. An actual interactive visualization you can click, filter, and explore.

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.

Anthropic's recent blog post about code execution with MCP got everyone excited about converting tool calls into code. But I think we're optimizing the wrong thing.

Weaviate is an open-source vector database that powers AI-native applications—RAG systems, semantic search, recommendation engines, and more. But how do you make a vector database accessible to AI agents? You can't just expose raw API endpoints and expect good results.

The answer: 6 focused tools organized around what developers actually do with vector databases. Not 20 tools covering every edge case. Not 3 tools that force you into awkward patterns. Just 6 tools that handle search, storage, browsing, and management—the core workflows every vector database application needs.