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In `--auto` mode, the MCP server automatically routes each request to the correct project based on file paths in the request. No manual switching — works like `npx @playwright/mcp`.
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Now your agent automatically gets relevant context, decisions, and contracts before writing code.
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@@ -217,17 +248,30 @@ Full tree-sitter parsing via [tree-sitter-language-pack](https://github.com/nico
### Global Workspace — One server, all your projects
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No more running a separate MCP server per project. Register your repos once, serve them all:
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```bash
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codebase-intel register ~/projects/user-service
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codebase-intel register /opt/services/payment-api
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codebase-intel serve --auto
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```
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The server auto-routes each request to the correct project based on file paths. LRU cache keeps the 5 most recently used projects loaded — older ones are evicted and reloaded on demand.
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### Intent Tracking — "Did you actually build what was requested?"
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AI agents say "done" when the code compiles. But did they actually deliver what was asked? Intent tracking captures goals with **machine-verifiable** acceptance criteria:
### Feedback Loop — Learn from acceptance/rejection
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Records whether AI-generated code was accepted, modified, or rejected. Over time, identifies which context patterns lead to better output and which rejection reasons are most common.
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## Architecture
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```
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AI Agent (any) ──→ MCP Server (7 tools)
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AI Agent (any) ──→ MCP Server (12 tools)
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│
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Workspace Manager ←── Global Registry (~/.codebase-intel/)
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(multi-project routing, LRU cache)
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│
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Context Orchestrator
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(token budgeting, priority, conflicts)
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