In-memory graph database with Cypher query language.
## Memgraph MCP Server: In-Memory Graph Database The **Memgraph MCP Server** integrates Memgraph into Google Antigravity. Execute Cypher queries with in-memory performance for real-time graph analytics and streaming. ### Why Memgraph MCP? Memgraph delivers real-time graph processing. The MCP provides: - **In-Memory**: Millisecond latency - **Cypher Compatible**: Neo4j query compatibility - **Streaming**: Kafka and Pulsar integration - **Algorithms**: MAGE graph library ### Key Features #### 1. Performance In-memory speed: - C++ implementation - Real-time queries - Concurrent writes - On-disk persistence #### 2. Streaming Real-time analytics: - Kafka integration - Stream processing - Dynamic graphs - Temporal queries ### Configuration ```json { "mcpServers": { "memgraph": { "command": "npx", "args": ["-y", "@memgraph/mcp-server"], "env": { "MEMGRAPH_HOST": "localhost" } } } } ``` The Memgraph MCP enables real-time graph analytics.
{
"mcpServers": {
"memgraph": {}
}
}