Elasticsearch Knowledge Graph for MCP
Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
Knowledge & Memory (RAG)
npm 0 platforms
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Install
npx -y mcp-memory
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
{
"mcpServers": {
"mcp-brain-tools": {
"command": "npx",
"args": [
"-y",
"mcp-memory"
],
"env": {
"DEBUG": "<DEBUG>",
"ES_NODE": "<ES_NODE>",
"AI_MODEL": "<AI_MODEL>",
"AI_API_KEY": "<AI_API_KEY>",
"AI_API_BASE": "<AI_API_BASE>",
"ES_PASSWORD": "<ES_PASSWORD>",
"ES_USERNAME": "<ES_USERNAME>",
"GROQ_MODELS": "<GROQ_MODELS>"
}
}
}
}Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
