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skill-to-mcp vs filesystem

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

skill-to-mcp
by biocontext-ai
filesystem
by modelcontextprotocol
Stars★ 24★ 85,748
30d uses
Score4377
Official
Categories
Developer ToolsAI / LLM ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit3 mo agothis month

skill-to-mcp · Summary

Converts Claude Skills to MCP server resources with discovery and access tools.

filesystem · Summary

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

skill-to-mcp · Use cases

  • Organize and access specialized AI tools through MCP in biomedical research
  • Create centralized repositories of operational skills for LLM applications
  • Share and distribute standardized skill collections across teams

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

skill-to-mcp · Install

Install using pip:

pip install --user skill_to_mcp

Or use uvx for immediate execution:

SKILLS_DIR=/path/to/skills uvx skill_to_mcp

For Claude Desktop, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "skill-to-mcp": {
      "command": "uvx",
      "args": ["skill_to_mcp", "--skills-dir", "/path/to/your/skills"],
      "env": {
        "UV_PYTHON": "3.12"
      }
    }
  }
}

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.