If you use Claude Code, Cursor, or another AI coding agent, you've probably seen “MCP” mentioned. Here's the plain-English version of what it is and why it matters for fixing bugs.
MCP in one sentence
MCP — the Model Context Protocol — is an open standard for connecting AI agents to outside tools and data. Think of it as a universal adapter: instead of every tool inventing its own way to talk to an agent, a tool exposes a set of MCP “tools” (read this, fetch that, do this action) and any MCP-capable agent can use them.
Why it's a big deal
Before MCP, getting real data into an agent meant copy-pasting, or building a one-off integration for each tool. MCP standardizes that connection. The agent can now pull live, structured context on demand — your database, your issues, your bug reports — and act on it, without you playing middleman.
From dashboard to direct context
Bug reporting is a perfect example. Traditionally a tester report lands in a dashboard, and you manually relay the details into your editor: the screen, the build, the screenshot. With MCP, the bug-reporting tool exposes those reports to the agent itself. Speedydebug does exactly this — each report is available as a structured bundle the agent reads on demand, complete with a lazy, signed screenshot URL so it doesn't flood the context window.
What that looks like in practice
- A tester shakes to report a bug in your Expo app.
- The report becomes an MCP-readable bundle: route, build, device, description, screenshot.
- You tell Claude Code or Cursor to read your open bugs and fix them — with full context, in one session.
The takeaway
MCP turns “here's a screenshot, good luck” into “here's a structured report your agent can act on.” For teams building AI-coded mobile apps, that's the shift from looking at bugs to fixing them.
See it on your app
Speedydebug delivers tester bugs to your agent over MCP — free for your first 10 reports per app. Get started free →