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MCP Neo4j Memory Server

@sylweriusz

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

トランスポート

stdio

作者

sylweriusz

MCP Neo4j Memory Server について

概要はまだありません

MCP Neo4j Memory Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-neo4j-memory-server": {
      "command": "docker",
      "args": [
        "run",
        "\\"
      ]
    }
  }
}

MCP Neo4j Memory Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Neo4j Memory Server?

An MCP server that gives AI assistants persistent, intelligent memory using Neo4j’s graph database. It stores memories as interconnected knowledge nodes, supports semantic and exact search, creates typed relationships, organizes data by project, and tracks knowledge evolution over time.

How to use MCP Neo4j Memory Server?

Install via npm install @sylweriusz/mcp-neo4j-memory-server, then add the tool to your Claude Desktop config with environment variables NEO4J_URI, NEO4J_USERNAME, and NEO4J_PASSWORD. You must run a Neo4j database with the GDS plugin (recommended: DozerDB). Four unified MCP tools—memory_store, memory_find, memory_modify, and database_switch—handle all memory operations.

Key features of MCP Neo4j Memory Server

  • Stores memories as nodes with typed relationships and temporal metadata
  • Unified search: vectors, exact matches, wildcards, and graph traversal
  • Creates multiple memories with relations in a single batch request
  • Isolates projects via separate databases with instant switching
  • Filters memories by relative or absolute date on any temporal field
  • Zero-fallback error handling for reliable debugging

Use cases of MCP Neo4j Memory Server

  • Remember facts, preferences, and context across AI conversations
  • Find relevant memories using semantic search or exact ID lookups
  • Create meaningful connections between memories with cross-references
  • Organize and isolate memories for different projects or topics
  • Track how knowledge changes over time with versioned observations

よくある質問

1

What database does the server require?

It requires Neo4j with the Graph Data Science (GDS) plugin. The recommended setup is DozerDB (docker pull graphstack/dozerdb). GDS is necessary for vector operations.

2

What are the four MCP tools?

`memory_store` (create memories with relations), `memory_find` (search/retrieve), `memory_modify` (update, delete, manage observations/relations), and `database_switch` (change project context).

3

How do I troubleshoot vector search failures?

Check the server logs for `[VectorSearch] GDS Plugin detected`. If missing, ensure the GDS plugin is installed and Neo4j is running with the correct configuration.

4

Can I use this server without a graph database?

No. Neo4j (with GDS) is a required persistent storage layer. The server has no fallback or in‑memory mode.

5

How do I connect to an existing Neo4j instance?

Set the `NEO4J_URI`, `NEO4J_USERNAME`, and `NEO4J_PASSWORD` environment variables in your MCP client config. Test connectivity via `curl http://localhost:7474`.

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