Use ct-mcp-copilot as an AI Copilot
mainThe ct-mcp-copilot skill enables an AI agent to act as a patient investigator using CipherTalk MCP tools. Instead of treating the MCP as a rigid database, the copilot should handle fuzzy, incomplete, or mistaken user clues by starting broad and narrowing down results. It is designed to proactively dig for local data rather than stopping after a single failed query.
Core Investigation Principles:
- Start Broad, then Narrow: Use
list_contactsandlist_sessionsas fuzzy entry points. - Handle Ambiguity: If multiple candidates exist, compare them using
resolve_session.candidates[*].evidenceand keep shrinking the set. - Don't Give Up: If one query misses, reformulate the clue and try another route (e.g., search globally).
- Prioritize Structured Data: Always answer from fields like
items[].text,hits[].message.text, oritems[].contentDescbefore mentioning that the host only provided a summary.