calibration_feedback

MCP tool from Mind Mem by star-ga

Submit quality feedback for a retrieved block (thumbs up/down)

How to use it

Project documentation lists calibration_feedback for the Mind Mem MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

Install Mind Mem

$pip install mind-mem
FULL MIND MEM LISTING

Other tools in Mind Mem (20)

approve_apply

Apply a staged proposal (dryrun=True by default)

calibration_stats

View per-block and global calibration statistics

category_summary

Category summaries relevant to a given topic

delete_memory_item

Delete a memory block by ID (admin-scope)

export_memory

Export workspace as JSONL (user-scope)

find_similar

Find blocks similar to a given block

get_mind_kernel

Read a specific MIND kernel configuration as JSON

hybrid_search

Hybrid BM25+Vector search with RRF fusion

index_stats

Index statistics, MIND kernel availability, block counts

intent_classify

Classify query intent (9 types with parameter recommendations)

list_contradictions

List contradictions with auto-resolution analysis

list_mind_kernels

List available MIND kernel configurations

memory_evolution

View/trigger A-MEM metadata evolution for a block

prefetch

Pre-assemble context from recent conversation signals

propose_update

Propose a decision/task — writes to SIGNALS.md only

recall

Search memory with BM25 (query, limit, activeonly)

reindex

Rebuild FTS5 index (optionally including vectors)

retrieval_diagnostics

Pipeline rejection rates, intent histogram, hard negatives

rollback_proposal

Rollback an applied proposal by receipt timestamp

scan

Run integrity scan (contradictions, drift, signals)