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Amber includes an MCP (Model Context Protocol) server that gives AI assistants direct access to checkpoint protection and context management. The tool built because an AI destroyed model weights — now integrated into AI assistants so they protect checkpoints instead of destroying them.
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### Setup
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```bash
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pip install "mcp[cli]"
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```
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Add to your Claude Code settings (`.claude/settings.json`):
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```json
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{
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"mcpServers": {
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"amber": {
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"command": "python3",
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"args": ["/path/to/Amber/amber-mcp/amber_mcp.py"]
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}
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}
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}
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```
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### File Protection Tools
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| Tool | Description |
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|---|---|
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|`amber_status`| Show watched paths and protection status |
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|`amber_log`| View version history before modifying files |
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|`amber_snapshot`| Force a snapshot before making risky changes |
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|`amber_verify`| Verify integrity of stored checkpoints |
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|`amber_restore`| Restore a file to a previous version |
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|`amber_tag`| Tag versions with scores, phase, metadata |
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|`amber_diff`| Compare two versions |
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|`amber_search`| Search content across version history |
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### Context Ledger Tools
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Immutable, content-addressed snapshots of AI working context — every context state is hashed, chain-linked, and verifiable.
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| Tool | Description |
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|---|---|
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|`context_save`| Snapshot current working state (files, decisions, findings, constraints) |
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|`context_restore`| Restore a previous context state with integrity verification |
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|`context_log`| View context version history |
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|`context_diff`| See what changed between context snapshots |
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|`context_branch`| Branch context for exploring different approaches |
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|`context_verify`| Verify integrity of all stored context snapshots |
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---
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## Contributing
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Issues, bug reports, and pull requests are welcome. If you're using Amber in your training pipeline, I'd like to hear about it — open an issue or start a discussion.
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