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tatlock/docs/claude-integration.md
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jpmschweitzerandClaude Opus 4.6 a3c7fcf8c3 refactor: consolidate project structure and clean up documentation
- Move docs to docs/ (philosophy, roadmap, orchestration scenarios,
  claude integration, testing improvements)
- Strip completed phases from roadmap and claude integration docs
- Move dependencies from requirements*.txt into pyproject.toml
- Move pytest config from pytest.ini into pyproject.toml
- Add Makefile replacing wakeup.sh (setup, run, test, lint, etc.)
- Add CI test gate in Gitea Actions workflow
- Consolidate caches into .cache/ (pytest, mypy, ruff)
- Consolidate build output into build/ (coverage, logs)
- Update Dockerfile for pyproject.toml install
- Update cross-references in README, AGENTS.md, CLAUDE.md

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-05 20:44:25 +01:00

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# Claude Integration Plan
## Overview
Tatlock uses a bidirectional Claude architecture:
- **Scenario A**: Tatlock powered by Claude backend (with Ollama fallback) — **COMPLETE**
- **Scenario B**: Tatlock exposed as MCP server for external Claude instances — **OPEN**
- **Scenario C**: Offline operation via Ollama — **COMPLETE**
---
## MCP Server (Expose Tools to Claude) — NOT STARTED
Create an MCP server that exposes Tatlock's household tools to external Claude instances.
### New Files
```
src/mcp/
├── __init__.py
├── server.py # MCP server using mcp Python SDK
├── tool_adapters.py # Convert PydanticAI tools → MCP schemas
├── auth.py # API key authentication
└── transport.py # Streamable HTTP transport
```
### Docker Stack Addition
```yaml
tatlock-mcp:
image: git.schweitz.internal/jpmschweitzer/tatlock:latest
command: ["python", "-m", "src.mcp.server"]
ports:
- "8002:8002"
environment:
- MCP_AUTH_TOKEN=${MCP_AUTH_TOKEN}
networks:
- docker-dataplane
```
### Claude Desktop Configuration
```json
{
"mcpServers": {
"tatlock": {
"command": "npx",
"args": ["mcp-remote", "https://mcp.schweitz.net/sse", "--header", "Authorization: Bearer ${MCP_AUTH_TOKEN}"]
}
}
}
```
### Checklist
- [ ] Create `src/mcp/` module
- [ ] Tool adapters (PydanticAI → MCP schema)
- [ ] Authentication middleware
- [ ] Streamable HTTP transport
- [ ] Docker stack configuration
---
## Future Phases
- **LiteLLM Gateway** — Unified endpoint for all models, config-driven routing
- **Multi-Provider** — Add OpenAI, Vertex AI, etc.
- **Smart Routing** — Context-aware model selection, cost ceiling enforcement
---
## Offline Behavior
| Scenario | Behavior |
|----------|----------|
| No API key | Use Ollama exclusively |
| API unreachable | Use Ollama, log warning |
| API rate limited | Fallback to Ollama |
| Aspect | Claude | Ollama |
|--------|--------|--------|
| Context | 200k tokens | ~8k tokens |
| Latency | 1-3s (network) | 0.5-1s (local) |
| Personality | Preserved | Preserved |
| Tools | All work | All work |
| Cost | API charges | Free |
---
## Related Repo Handovers
Handover documents created in each repo: `PROJECT_CLAUDIFICATION_HANDOVER.md`
### Open Items
- **library-desk**: Review HybridRAG response size limits, smart_create endpoint, response formats
- **core-api**: Review list_devices response format, error messages, rate limiting
- **portainer-core**: Update stack with new env vars, configure secrets, update CONTAINERS.md
- **webber**: Review content truncation limits, extraction quality
- **tatlock-ui**: Test streaming with Claude backend, conversation history, tool call display