As AI tools become more powerful, one thing becomes increasingly clear — they need better context to be truly helpful. That’s where Model Context Protocol (MCP) comes in. And with Pieces MCP, getting started is easier than ever.
Pieces MCP is a local protocol that connects language models like ChatGPT or Claude to your personal digital history.
It acts as a bridge between the tools you already use and the long-term context they need to support you more intelligently — without repeating yourself.
The foundation of Pieces MCP is the Long-Term Memory Engine (LTM-2), which captures critical parts of your work in real time. That includes code snippets, browser activity, notes, logs, and other application data. As you work, Pieces quietly builds a memory layer that stays with you — context that your AI tools can access when needed.
Instead of restarting every AI interaction from scratch, Pieces MCP makes your assistant more aware.
Ask questions like “Have I hit this bug before?” or “How did I implement this last time?” and get answers based on your actual project history. It’s a smarter way to work — and a faster way to solve real problems.
All of this runs locally. Your data never leaves your machine, ensuring your code, notes, and usage patterns remain private.
There’s no cloud sync, no uploading — just fast, secure access to the context you’ve already created.
Pieces MCP is built to work where you already work. You can connect it to tools like Cursor, GitHub Copilot, and Goose, with more integrations coming soon.
Everything runs through PiecesOS, the engine that powers the long-term memory and MCP communication behind the scenes.
More and more developers — especially in fast-moving teams — are turning to MCP not just for convenience, but for competitive advantage. By unlocking historical context within local environments, they’re able to speed up debugging, reuse successful patterns, and reduce decision fatigue.
Get started with Pieces MCP and connect it to your IDE of choice. You’ll quickly discover what it’s like to work with an AI that actually knows what you’ve done, what you’ve fixed, and what you’re building next.
At Pieces, we're building the future of AI-powered developer tools — making memory adaptive, intelligent, and completely private.
This is just the beginning.
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