tradememory-protocol vs filesystem

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

	tradememory-protocol by mnemox-ai	filesystem by modelcontextprotocol
Stars	★ 906	★ 85,748
30d uses	—	—
Score	54	77
Official	—	✓
Categories	FinanceAI / LLM ToolsDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

tradememory-protocol · Summary

TradeMemory Protocol is an MCP server providing decision audit trails and persistent memory for AI trading agents with outcome-weighted recall and SHA-256 tamper detection.

filesystem · Summary

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

tradememory-protocol · Use cases

Pre-flight trading workflow: Memory retrieval before making trading decisions
Automated trading systems: Sync trade decisions and outcomes from platforms like MT5
Compliance and audit: Generate tamper-proof records for regulatory submissions

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

tradememory-protocol · Install

pip install tradememory-protocol

Add to Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "tradememory": {
      "command": "uvx",
      "args": ["tradememory-protocol"]
    }
  }
}

For other clients:

# Claude Code
claude mcp add tradememory -- uvx tradememory-protocol

# From source
git clone https://github.com/mnemox-ai/tradememory-protocol.git
cd tradememory-protocol && pip install -e . && python -m tradememory

# Docker
docker compose up -d

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.