aiskillstore vs filesystem

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

	aiskillstore by garasegae	filesystem by modelcontextprotocol
Stars	★ 0	★ 85,748
30d uses	—	—
Score	36	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsOther	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

aiskillstore · Summary

MCP server for AI agents to discover, install, and review skills in the agent-first skill marketplace.

filesystem · Summary

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

aiskillstore · Use cases

AI agents discovering and installing new capabilities based on their specific needs
Skill developers uploading and managing their AI agent skills through the marketplace
Systems integrators checking compatibility between skills and target platforms before deployment

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

aiskillstore · Install

Installation

Quick start (remote)

Add this configuration to your MCP client settings:

{
  "mcpServers": {
    "aiskillstore": {
      "url": "https://aiskillstore.io/mcp",
      "transport": "streamable-http"
    }
  }
}

Self-host (Docker)

docker build -t aiskillstore-mcp .
docker run --rm -i aiskillstore-mcp

For development or testing, you can override the backend URL:

docker run --rm -i -e SKILL_STORE_URL=https://staging.aiskillstore.io aiskillstore-mcp

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.