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opik-mcp vs filesystem

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

opik-mcp
by comet-ml
filesystem
by modelcontextprotocol
Stars★ 203★ 85,748
30d uses
Score5077
Official
Categories
AI / LLM ToolsDeveloper ToolsMonitoring
File SystemDeveloper ToolsProductivity
LanguageTypeScriptTypeScript
Last committhis monththis month

opik-mcp · Summary

Comet-ML's MCP server for Opik provides unified access to prompts, projects, traces, and metrics across various IDEs.

filesystem · Summary

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

opik-mcp · Use cases

  • ML engineers tracking experiment metrics and accessing prompts directly within their IDE
  • Data scientists exploring project traces and datasets without leaving their development environment
  • Teams managing prompt lifecycle and version control across different workspace projects

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

opik-mcp · Install

Installation

  1. Run with npx:
npx -y opik-mcp --apiKey YOUR_API_KEY
  1. Add to Claude Desktop (claude_desktop_config.json):
{
  "mcpServers": {
    "opik": {
      "command": "npx",
      "args": ["-y", "opik-mcp", "--apiKey", "YOUR_API_KEY"]
    }
  }
}
  1. Add to VS Code / GitHub Copilot (.vscode/mcp.json):
{
  "inputs": [
    {
      "type": "promptString",
      "id": "opik-api-key",
      "description": "Opik API Key",
      "password": true
    }
  ],
  "servers": {
    "opik-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "opik-mcp", "--apiKey", "${input:opik-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.