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Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory

Remote MCP for commodities research — knowledge graph, COT positioning, natural gas storage/weather, futures quotes, and private stories/journals. Requires Arc Research Starter + bearer token.

A task management system for LLM agents to manage projects, tasks, and knowledge using a Neo4j database for complex workflow automation.

Mines git history for file co-change patterns into a queryable knowledge graph via MCP.

Query a hybrid graph (Neo4j) and vector (Qdrant) database for powerful semantic and graph-based document retrieval.

A knowledge graph-driven persistent memory layer for coding agents and LLM workflows.

Connects to Neo4j graph databases with ability to use GDS functions ( when available), a read only mode , and set the sample size for schema detection

MCP Memory Server - Python Implementation

A Python implementation of the MCP memory server for knowledge graph storage and retrieval, using JSONL files for persistence.

Integrate the Neo4j graph database with clients through natural language interactions.