Colab MCP

# What Is This & Why Should You Care? ## The Situation You're a developer in 2025. You've got like 5 different AI coding assistants installed: - Claude Code for architecture discussions - Cursor for live coding - Codex CLI for quick terminal stuff - Maybe Gemini for code review - Who knows what else They're all amazing tools. But here's the thing that drives you absolutely bonkers: **They don't talk to each other.** ## The Annoying Part Picture this (you've lived this): 1. You spend an hour with Claude Code designing a new feature 2. You switch to Cursor to actually code it 3. Cursor has NO IDEA what you just discussed 4. You either: - Copy-paste the entire conversation (tedious) - Re-explain everything (exhausting) - Just wing it without context (risky) Then maybe you: 5. Jump to terminal and ask Codex to help debug 6. Same problem - it's clueless about what you've been working on 7. More explaining. More context-switching overhead. By the end of the day, you've spent more time explaining your project to different AIs than actually building it. **This sucks.** ## The Solution (Finally) That's where Colab MCP comes in. It's a shared MCP (Model Context Protocol) server that acts like a **memory layer** between all your AI tools. Think of it like this: ``` Before: Claude Code → ❌ ← Cursor → ❌ ← Codex (isolated) (isolated) (isolated) After: Claude Code → Colab MCP ← Cursor → Colab MCP ← Codex ↑ ↑ Shared logs & history Shared logs & history ``` Now when you switch from Claude to Cursor, you can literally ask: > "Check my previous session and continue from where I left off" And it just... works. 🎉 ## What It Actually Does Colab MCP exposes your: - **Chat transcripts** from all your AI conversations - **Terminal history** and commands you've run - **IDE events** (file opens, edits, etc.) - **Session metadata** (timestamps, projects, etc.) As **MCP tools and resources** that all your AI assistants can access. So when you're in Cursor and you say: > "What error was I debugging with Claude earlier?" Cursor can actually **look it up** instead of saying "I don't have that context." ## Who Is This For? You, if: - ✅ You use multiple AI coding assistants - ✅ You're tired of losing context when switching tools - ✅ You want your AI helpers to actually help, not force you to repeat yourself - ✅ You value your time and sanity Basically: any developer who's doing serious work with AI coding tools. ## What's the Catch? Honestly? Not much. - Installation takes ~2 minutes - It runs locally (your logs stay on your machine) - Almost no performance overhead - It's open source (MIT license) The only "catch" is you need to restart your AI tools after installing it. That's it. ## Real-World Impact After using Colab MCP for a week: - **80% less context re-explaining** between tools - **Faster context retrieval** - "What did I work on yesterday?" just works - **Better continuity** - pick up exactly where you left off - **Log searching** - finally find that conversation from last week It's not magic. It's just eliminating a really obvious pain point that shouldn't exist in the first place. ## Ready to Try It? Head over to the [Installation Guide](installation.md) and get set up in 2 minutes. Or keep reading [How It Works](how-it-works.md) if you want the technical details first.