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glif-mcp-server vs filesystem

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

glif-mcp-server
by glifxyz
filesystem
by modelcontextprotocol
Stars★ 122★ 85,748
30d uses——
Score4677
Official—✓
Categories
AI / LLM ToolsDeveloper ToolsMedia
File SystemDeveloper ToolsProductivity
LanguageTypeScriptTypeScript
Last commit4 mo agothis month

glif-mcp-server · Summary

MCP server enabling AI workflow execution from glif.app within your LLM client.

filesystem · Summary

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

glif-mcp-server · Use cases

  • Creating and running AI image generation workflows directly from your LLM client
  • Automating meme generation with custom prompts and parameters
  • Managing and discovering AI-powered creative tools and agents

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

glif-mcp-server · Install

Installation

Running via npx (recommended)

  1. Get your API token from https://glif.app/settings/api-tokens
  2. Add the server to your Claude Desktop config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
  "mcpServers": {
    "glif": {
      "command": "npx",
      "args": ["-y", "@glifxyz/glif-mcp-server@latest"],
      "env": {
        "GLIF_API_TOKEN": "your-token-here"
      }
    }
  }
}

Running from local checkout

git clone https://github.com/glifxyz/glif-mcp-server
cd glif-mcp-server
npm install
npm run build

Then configure your MCP client with the path to the built index.js file.

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.