MARM-Systems vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	MARM-Systems by Lyellr88	filesystem by modelcontextprotocol
Stars	★ 288	★ 85,748
30d uses	—	—
Score	51	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

MARM-Systems · Summary

MARM MCP server provides persistent memory and structured session context for AI agents across tools.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

MARM-Systems · Use cases

Enabling long-term memory for AI agents across multiple conversation sessions
Facilitating knowledge sharing between different AI assistants (Claude, Gemini, etc.)
Providing persistent memory for development environments and technical workflows

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

MARM-Systems · Install

Installation

**Docker Install (Recommended):**

docker pull lyellr88/marm-mcp-server:latest
docker run -d --name marm-mcp-server -p 8001:8001 -v ~/.marm:/home/marm/.marm lyellr88/marm-mcp-server:latest
claude mcp add --transport http marm-memory http://localhost:8001/mcp

**Local Install:**

pip install marm-mcp-server==2.2.6
pip install -r marm-mcp-server/requirements.txt
python marm-mcp-server
claude mcp add --transport http marm-memory http://localhost:8001/mcp

**Stdio Install:**

pip install marm-mcp-server==2.2.6
pip install -r marm-mcp-server/requirements_stdio.txt
claude mcp add --transport stdio marm-memory-stdio python "path/to/marm-mcp-server/server_stdio.py"
python marm-mcp-server/server_stdio.py

**Claude Desktop Configuration (JSON):**

{
  "mcpServers": {
    "marm-memory": {
      "httpUrl": "http://localhost:8001/mcp",
      "authentication": {
        "type": "oauth",
        "clientId": "local_client_b6f3a01e",
        "clientSecret": "local_secret_ad6703cd2b4243ab"
      }
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.