MCP Servers / memory / Adaptive Recall

Adaptive Recall

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Adaptive MCP memory system for AI applications. Learns which retrieval strategies work for your data, scores results using cognitive science models, builds a knowledge graph automatically, and validates every parameter change against real query history before adopting it. Patent pending.

github ↗
Install
How to run this server

No install command recorded.

server path: adaptive-recall
Tools
What this server exposes
store
Save a new memory. Generates embeddings and extracts entities automatically.
recall
Search memories using multi-strategy retrieval with cognitive scoring.
update
Modify an existing memory. Re-embeds automatically if content changes.
forget
Remove a memory by ID or by finding the closest match to a query.
graph
Explore the knowledge graph, traversing entity relationships by name and depth.
status
System health, memory counts, confidence distribution, and knowledge gap detection.
snapshot
Get a formatted overview of stored memories, organized by type.
feedback
Send feedback directly to the Adaptive Recall developers.
Configuration
Environment & auth
authnone
envYOUR_SERVER_URL
envYOUR_API_KEY
Resources
githubhttps://github.com/AIAppsAPI/adaptive-recall ↗
Adaptive Recall — MCP Server · libregistry