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3 posts tagged with "Integration"

Integration patterns and approaches

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Which AI Tools Actually Support MCP Well Right Now (May 2026)

· 10 min read
MCPBundles

Every Model Context Protocol server on the internet is, at the end of the day, a URL. The hard question is which AI tool you're going to plug it into — and the honest answer is that the experience varies wildly depending on which app you live in.

I run MCPBundles, so I see what users actually do after they generate an MCP URL. A lot of them sign up, get the URL, then bounce because the next step — wiring it into the tool they actually use — is unfamiliar territory. Sometimes that's our fault for not making it obvious. Sometimes the tool's setup flow is genuinely awkward. And sometimes the tool literally hides MCP behind a developer toggle that nobody told you to flip.

This is the field report I'd write a friend who asked me, today, "which AI tool should I use if I want MCP to actually work?" Frank, opinionated, with the quirks named.

Cartoon illustration of a cheerful white robot holding a single orange MCP cable, facing a row of differently-shaped wall sockets — one universal cable, many host shapes

Figma with AI: Audit Component Libraries, Sync Design Tokens, and Debug Webhooks from a Chat

· 9 min read
MCPBundles

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.

Wrapping REST APIs as MCP Tools

· 8 min read
MCPBundles

Most APIs weren't built for AI agents. Stripe has 300+ endpoints. GitHub's API returns paginated results that change between requests. Slack rate-limits you after 20 calls per minute. None of them were designed for Claude to use directly.

We wrapped dozens of REST APIs into MCP tools and learned that a thin wrapper doesn't work. You need to rethink the interface completely—actions instead of CRUD, consolidated search instead of endless list endpoints, and server-side resilience for pagination and rate limits.

Here's what actually works.

Cartoon illustration of a person wrapping REST APIs as MCP tools, happy expression
We wrapped Stripe, GitHub, and Slack APIs into MCP tools. Here's what we learned about making REST APIs agent-friendly—what works and what doesn't.