mcp-memory-graph
Local-first memory MCP server for Claude Code and any MCP client: hybrid vector + knowledge-graph search, bi-temporal recall, Obsidian sync. Runs 100% on your …
AI & MLnpx -y mcp-memory-graph{
"mcpServers": {
"mcp-memory-graph": {
"command": "npx",
"args": [
"-y",
"mcp-memory-graph"
]
}
}
}mcp-memory-graph is a community MCP server that connects AI assistants like Claude to local-first memory mcp server for claude code and any mcp client: hybrid vector + knowledge-graph search, bi-temporal recall, obsidian sync. runs 100% on your …. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.
About mcp-memory-graph
Overview
Local-first memory MCP server for Claude Code and any MCP client: hybrid vector + knowledge-graph search, bi-temporal recall, Obsidian sync. Runs 100% on your machine, $0/token.
Links
Topics
mcp, mcp-server, model-context-protocol, claude-code, claude, anthropic, memory, agent-memory, llm-memory, vector-search, semantic-search, hybrid-search, knowledge-graph, rag, embeddings, bi-temporal, local-first, sqlite, sqlite-vec, obsidian, knowledge-management, enterprise
Who Should Use mcp-memory-graph?
- 1Search and retrieve information using natural language
- 2Chain AI models and pipelines through a unified MCP interface
- 3Let Claude orchestrate other AI tools and models
- 4Integrate embeddings, image generation, or speech APIs into your workflow
How to Install mcp-memory-graph
Before you start
You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.
- 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
- 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
- 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.