mcp-prospector is the prospector copilot MCP for Claude desktop coworker (Executor) to use central intelligence.
- New tool `classify_message(text, handle?, phone?, has_call?, local_is_known_contact?)`: runs fast efficient rules classifier (our distilled model from training data) + full central stack (LLM via GPU model-boss if deployed, mrnumber, macsync/quinn-messenger context via thread/classify, qualification). Supports passing local desktop context for Contacts gate.
- Local fastClassify/fastTemplate inlined for the MCP (pure, no extra dep issues).
- Updated README with full architecture:
- Composition: quinn-messenger (messaging), mrnumber (screening), classifier (fast + GPU LLM), macsync (data), quinn-desktop (local MCP for addressbook/Contacts gate, other sensors).
- Desktop coworker loads multiple MCPs (this central + quinn-messenger MCP + quinn-desktop local MCP).
- SKILL instructs workflow: desktop local lookup first, then central classify_message for combined result using optimized model + all sources.
- Replaces pure local stopgap rules with central quality while keeping desktop facts.
- This lets the desktop coworker classify messages using the full prospector copilot feature (central brain on GPU + local).
Follows project: prospector central in api, macsync network, MCP as tool interface for agents, hybrid fast rules + LLM.
Part of making prospector copilot the way for coworker + replace claude deps (GPU for LLM part).
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