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@memofs/mcp-server

Model Context Protocol server for MemoFS agent integrations.

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@memofs/mcp-server

npm version   Status: Beta   npm downloads   CI   Docs   MIT License

Model Context Protocol server for MemoFS agent integrations.

What is this?

The @memofs/mcp-server package allows AI coding agents (like Claude Desktop, Cursor, Zed, and OpenCode) to securely read, search, and update project memory using the Model Context Protocol (MCP). It wraps the core runtime and exposes 10 model-facing tools (4 memory verbs + 6 AgentFS session tools) and 9 resources for memory, graph, and session access.

Key capabilities:

  • Code anchoringmemofs.remember accepts an optional anchor parameter to bind memories to source files; memofs.recall surfaces stale flags when anchored files change.
  • Memory decay detection — recall results carry unverified flags when memories exceed their kind-specific decay floors.
  • Session outcomesmemofs_agent_session_complete accepts outcome, ephemeral, and reason parameters controlling a 5-row behavior matrix for durable memory promotion and workspace cleanup.

Installation

Most MCP clients invoke the server on demand via npx — no install required:

npx -y @memofs/mcp-server --help

If you want to install the server as a dev dependency instead:

npm install -D @memofs/mcp-server

Requires Node.js >= 22.

Or use directly via npx in your client's configuration:

npx -y @memofs/mcp-server --help

Quick Start

You can configure your MCP client (e.g., Claude Desktop, Cursor, or any MCP client) to start the server via stdio.

MCP clients config

{
  "mcpServers": {
    "memofs": {
      "command": "npx",
      "args": [
        "-y",
        "@memofs/mcp-server",
        "--runtime",
        "local",
        "--root",
        "/absolute/path/to/project"
      ]
    }
  }
}

Configuration and Usage

The server supports two runtime modes (local, hybrid), cloud sync via --cloud-url and --api-key, and a strict --read-only flag to block mutating tools when used with untrusted clients.

For comprehensive setup instructions across all major AI tools, the full list of exposed tools and resources, and runtime mode options, please refer to the Full Documentation.

Contributing

See our central Contributing Guide and development scripts for details on formatting, linting, and testing within the monorepo.

License

MIT

Keywords

mcp

FAQs

Package last updated on 17 Aug 2026

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