🔍Search Tool
search_summaries
Search structured v6 summaries. Extract specific sections like decisions, open questions, or quotes.
When to use this
Use search_summaries when you want structured information — not raw conversation text. The extract parameter lets you pull just decisions, questions, or quotes about a topic.
Quick Example
mcporter call brain.search_summaries query="database migration" extract="decisions"Response
## Decisions about: database migration
⭐ Database Schema v3 Migration
Domain: database | Stage: executing | Source: claude-code
✅ Use Supabase migration tooling over raw SQL
✅ RLS policies applied at migration time, not after
✅ Keep backward compat for 2 versions
🔥 PostgreSQL to Supabase Migration
Domain: database | Stage: crystallizing | Source: chatgpt
✅ Migrate tables incrementally, not big-bang
✅ Use pg_dump for initial data, realtime for ongoing
Total: 8 decisions foundParameters
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
query | string | Yes | — | Topic to search summaries for |
extract | string | No | — | Extract specific section: 'summary', 'questions', 'decisions', or 'quotes' |
domain | string | No | — | Filter by cognitive domain |
importance | string | No | — | Filter by importance: 'breakthrough', 'significant', or 'routine' |
limit | integer | No | 10 | Maximum results to return |
Extract Modes
📝
extract="summary"Conversation summaries with context
❓
extract="questions"Open/unresolved questions from conversations
✅
extract="decisions"Explicit decisions made during conversations
💬
extract="quotes"Quotable phrases and authentic voice
Examples
Open questions about a topic
mcporter call brain.search_summaries query="testing strategy" extract="questions"Quotes filtered by domain
mcporter call brain.search_summaries query="bottleneck" extract="quotes" domain="cognitive-architecture"Breakthroughs only
mcporter call brain.search_summaries query="embeddings" importance="breakthrough"