# MCP Memory MCP server

Local persistent memory for AI agents: SQLite + FTS5 (BM25) lexical search, zero external infra.

## At a glance

MCP Memory is an MCP server in the AI & Memory category. It runs locally over stdio via `docker run -i --rm ghcr.io/germaniu/mcp-memory:0.6.0`, and declares no required credentials. It exposes 9 tools, including memory_save, memory_search and memory_update. It scores B (71/100) on the MCP Skills Hub health score as of Oct 28, 2026.

## Install

### How to install MCP Memory in Claude Code

1. Add the server

```bash
claude mcp add mcp-memory -- docker run -i --rm ghcr.io/germaniu/mcp-memory:0.6.0
```

2. Verify it's connected

```bash
claude mcp list
```

3. Sharing it with your team?

   Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

4. Use it in a session

   Ask Claude to use the tools this server exposes (e.g. memory_save, memory_search, memory_update). It discovers them automatically.

### How to install MCP Memory in Claude Desktop

1. Open your MCP config

   macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

2. Add this server

```json
{
  "mcpServers": {
    "mcp-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/germaniu/mcp-memory:0.6.0"
      ]
    }
  }
}
```

3. Restart Claude Desktop

   The tools appear under the 🔌 menu once the app reloads.

### How to install MCP Memory in Cursor

1. Create / edit .cursor/mcp.json in your project

```json
{
  "mcpServers": {
    "mcp-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/germaniu/mcp-memory:0.6.0"
      ]
    }
  }
}
```

2. Enable it

   Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

### How to install MCP Memory in Codex CLI

1. Add to ~/.codex/config.toml

```toml
[mcp_servers.mcp-memory]
command = "docker"
args = ["run", "-i", "--rm", "ghcr.io/germaniu/mcp-memory:0.6.0"]
```

2. Run Codex

   Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

### How to install MCP Memory in Windsurf

1. Edit ~/.codeium/windsurf/mcp_config.json

```json
{
  "mcpServers": {
    "mcp-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/germaniu/mcp-memory:0.6.0"
      ]
    }
  }
}
```

2. Reload

   Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

### How to install MCP Memory in Cline

1. Open Cline → MCP Servers → Configure

   Adds to cline_mcp_settings.json.

2. Add the server

```json
{
  "mcpServers": {
    "mcp-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/germaniu/mcp-memory:0.6.0"
      ]
    }
  }
}
```

### How to install MCP Memory in VS Code

1. Create .vscode/mcp.json

```json
{
  "servers": {
    "mcp-memory": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/germaniu/mcp-memory:0.6.0"
      ]
    }
  }
}
```

2. Start it

   VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

## Tools

- `memory_save` — ✏️ escritura
- `memory_search` — 👁 lectura
- `memory_update` — ⚠️ destructiva
- `memory_delete` — ⚠️ destructiva
- `memory_list` — 👁 lectura
- `memory_recent` — 👁 lectura
- `memory_stats` — 👁 lectura
- `memory_export` — 👁 lectura
- `memory_import` — ✏️ escritura

Source repository: https://github.com/GermaniU/mcp-memory

---

Source: https://mcp-skills-hub.vercel.app/mcps/io-github-germaniu-mcp-memory · MCP Skills Hub · data as of 2026-10-28T12:31:05Z