sylweriusz/mcp-neo4j-memory-server

3.5

knowledge_and_memory databases ai_chatbot

If you are the rightful owner of mcp-neo4j-memory-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server that provides AI assistants with persistent, intelligent memory capabilities using Neo4j's graph database with unified architecture.

Tools

Functions exposed to the LLM to take actions

memory_store

Create memories with observations and relationships. Pattern: Search→Create→Connect. Observations: Self-contained context units (what/when/where/why/impact). LocalIds: Cross-references within THIS request only. Limits: 50 memories, 200 relations. Quality: Each observation = complete detective notes answering setting/action/actors/evidence/impact/significance.

memory_find

Unified search/retrieval. Query: text, IDs array, or "*". Context: minimal (lists), full (everything), relations-only (graph). Temporal: createdAfter "7d"/"2024-01-15". Graph: traverseFrom + relations + depth. Always search before creating. Updates access timestamps for analytics.

memory_modify

Update/delete memories, manage observations/relations. Operations: update (properties), delete (cascade), add-observations (append insights), create-relations (link existing). Atomic: All succeed or all fail. Quality: One substantial observation per session - complete context stories, not fragments.

database_switch

Switch active database context (creates if missing). ALL subsequent operations use this DB. Call once per session/project. Like 'cd' for memories. Session-scoped: Establishes context for entire workflow, not per-operation.

Prompts

Interactive templates invoked by user choice

explore-memory-graph

null

create-project-knowledge

null

debug-orphaned-memories

null

document-decision

null

analyze-memory-quality

null

text-to-knowledge-graph

null

vibe-code-with-memory

null

refactor-with-rationale

null

evolve-architecture

null

Resources

Contextual data attached and managed by the client

No resources

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