opentrace vs filesystem

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

	opentrace by adham90	filesystem by modelcontextprotocol
Stars	★ 15	★ 85,748
30d uses	—	—
Score	42	77
Official	—	✓
Categories	Developer ToolsMonitoringOps & Infra	File SystemDeveloper ToolsProductivity
Language	Go	TypeScript
Last commit	1 mo ago	this month

opentrace · Summary

OpenTrace is an MCP-native observability engine that connects AI coding agents directly to production data via MCP tools.

filesystem · Summary

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

opentrace · Use cases

Debug production errors by having AI agents search logs and analyze error groups
Investigate performance bottlenecks through MCP tools for database queries and endpoint metrics
Generate tests and safety assessments based on actual production data

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

opentrace · Install

Installation Options

VPS (Hetzner, DigitalOcean, any Linux server)

ssh root@your-server
curl -fsSL https://raw.githubusercontent.com/adham90/opentrace/main/scripts/install.sh | bash

Docker

docker run -d --name opentrace \
  -p 8080:8080 \
  -v opentrace-data:/data \
  -e OPENTRACE_LISTEN_ADDR=0.0.0.0:8080 \
  ghcr.io/adham90/opentrace:latest

Connect to Claude Desktop

Create a .mcp.json file in your project:

{
  "mcpServers": {
    "opentrace": {
      "command": "npx",
      "args": ["@opentrace-sdk/mcp"],
      "env": {
        "OPENTRACE_URL": "https://your-server.com",
        "OPENTRACE_API_KEY": "your-api-key"
      }
    }
  }
}

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.