How do I install the memflow mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `MEMBANK_API_URL`, `MEMBANK_API_KEY` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Memflow MCP Server

MemFlow MCP - A Model Context Protocol server for seamless memory management with intelligent search

Local serverstdio

What is the Memflow MCP Server?

Memflow MCP becomes available to MCP clients through the Memflow MCP. MemFlow MCP - A Model Context Protocol server for seamless memory management with intelligent search.

What Memflow MCP does

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.

Requirements

Node.js 18+ - Memory Bank API server running

Practical notes

Maintained by sacmii.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
addMemory	Store content with optional tags
searchMemory	Search memories with semantic matching
listMemories	Browse stored memories with filtering

How to install the Memflow MCP Server

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

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Node.js 18+ - Memory Bank API server running

Variable	Description	Required
MEMBANK_API_URL	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use Memflow MCP to addMemory.”
“Use Memflow MCP to searchMemory.”
“Use Memflow MCP to listMemories.”

Frequently asked questions

MemFlow MCP - A Model Context Protocol server for seamless memory management with intelligent search Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.