Memory Engine MCP Server

Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools.

Local serverstdioPython

What is the Memory Engine MCP MCP server?

Connect Memory Engine MCP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools. The memory engine mcp mcp server is what makes that connection.

What the server does

Local-first, graph-aware long-term memory for AI assistants.

  • full-text search (SQLite FTS5)
  • semantic similarity via local Ollama embeddings
  • confidence, recency, and weight
  • graph expansion from related memories

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Memory — The Memory tool exposed by this server

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Credentials and setup notes

Configuration is passed through the environment: MEMORY_DB_PATH, MEMORY_HOST, MEMORY_API_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Where it fits

Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Memory Engine MCP's toolset — Memory — is a fair guide to whether it matches your workflow. It is maintained by SimoneB79; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
MemoryThe Memory tool exposed by this server.

How to install the Memory Engine MCP MCP server

{
  "mcpServers": {
    "memory-engine": {
      "url": "http://localhost:8085/sse",
      "transport": "sse"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
MEMORY_DB_PATHFilesystem location the server is allowed to use.Optional
MEMORY_HOSTEndpoint or connection string the server talks to.Optional
MEMORY_API_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use Memory Engine MCP to Memory.

Frequently asked questions

It connects Memory Engine MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Memory) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Memory Engine MCP directly.