mcp-memory-service vs filesystem

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

	mcp-memory-service by doobidoo	filesystem by modelcontextprotocol
Stars	★ 1,848	★ 85,748
30d uses	—	—
Score	56	77
Official	—	✓
Categories	AI / LLM ToolsKnowledge GraphDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

mcp-memory-service · Summary

Persistent memory service for AI agents with REST API, MCP, OAuth, and knowledge graph functionality.

filesystem · Summary

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

mcp-memory-service · Use cases

Persistent memory for AI agents across conversation sessions
Multi-agent systems with shared knowledge and inter-agent messaging
Self-hosted alternative to commercial memory APIs with privacy control
Remote memory service for claude.ai browser integration

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

mcp-memory-service · Install

# Basic installation
pip install mcp-memory-service

# Start the server
MCP_ALLOW_ANONYMOUS_ACCESS=true memory server --http

For Claude Desktop integration, add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-memory": {
      "command": "python",
      "args": ["-m", "mcp_memory_service.server"],
      "env": {
        "MCP_ALLOW_ANONYMOUS_ACCESS": "true",
        "MCP_STREAMABLE_HTTP_MODE": "1"
      }
    }
  }
}

For remote MCP with claude.ai browser:

MCP_STREAMABLE_HTTP_MODE=1 MCP_SSE_HOST=0.0.0.0 MCP_SSE_PORT=8765 python -m mcp_memory_service.server

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.