filesystem vs chatgpt-app-typescript-template
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | chatgpt-app-typescript-template by pomerium | |
|---|---|---|
| Stars | ★ 85,748 | ★ 16 |
| 30d uses | — | — |
| Score | 77 | 45 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
chatgpt-app-typescript-template · Summary
Production-ready MCP app template for building ChatGPT-style tools with React UI widgets.
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
chatgpt-app-typescript-template · Use cases
- Building custom AI-powered tools with interactive UI for ChatGPT
- Creating MCP applications with React-based frontends
- Developing tools that integrate with various MCP hosts like Claude Desktop and VS Code
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.
chatgpt-app-typescript-template · Install
Installation & Setup
git clone https://github.com/pomerium/chatgpt-app-typescript-template your-chatgpt-app
cd your-chatgpt-app
npm install
npm run devChatGPT Connection
- Create a public tunnel using [Pomerium's SSH tunnel](https://www.pomerium.com/docs/tcp/ssh):
``bash ssh -R 0 pom.run ``
- Find your public URL in the terminal output
- In ChatGPT, go to **Settings → Connectors → Add Connector**
- Enter your Remote URL +
/mcp, e.g.https://your-unique-url.pom.run/mcp - Save the connector and test with your tool