MemFlow MCP

A Model Context Protocol (MCP) server that enables Large Language Models to store and retrieve persistent memories with intelligent search capabilities.

MemFlow MCP provides seamless integration between LLMs like Claude and your Memory Bank API, allowing for persistent memory management across conversations. The server supports adding memories with tags, semantic search, and flexible memory retrieval.

MEMBANK_API_URL=http://localhost:3000 MEMBANK_API_KEY=your-api-key # optional

SeeCLAUDE_DESKTOP_CONFIG.mdfor detailed configuration options for different Node.js installations.

{ "mcpServers": { "memflow": { "command": "/your/npx/path", "args": ["-y", "memflow-mcp"], "env": { "MEMBANK_API_URL": "http://localhost:3000" } } } }

- addMemory- Store content with optional tags
- searchMemory- Search memories with semantic matching
- listMemories- Browse stored memories with filtering

Once configured, you can use these commands in Claude:

Add this to memory: "Claude can now remember things across conversations" Search my memories for "conversations" List my recent memories

- Node.js 18+
- Memory Bank API server running

Use this full path in your Claude Desktop config.

- asdf:/Users/username/.asdf/shims/npx
- Homebrew (Intel):/usr/local/bin/npx
- Homebrew (Apple Silicon):/opt/homebrew/bin/npx
- System:/usr/bin/npx

"Unexpected token" JSON Errors

- EnsureMEMBANK_API_URLis set correctly
- Check that your Memory Bank API is running
- Restart Claude Desktop after config changes

- POST /memory- Create memory
- GET /memory- List/search memories

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