filesystem vs terminal_server
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | terminal_server by theailanguage | |
|---|---|---|
| Stars | ★ 85,748 | ★ 83 |
| 30d uses | — | — |
| Score | 77 | 40 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | Developer ToolsOps & InfraOther |
| Language | TypeScript | Python |
| Last commit | this month | 11 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
terminal_server · Summary
MCP server that enables AI models to execute terminal commands with multiple setup options.
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
terminal_server · Use cases
- Automating system administration tasks through AI commands
- Enabling AI to interact with local development environments
- Building AI assistants that can execute shell operations
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.
terminal_server · Install
Installation Options
Option 1: Local Python Setup
- Clone the repository
- Install Python dependencies
- Run the server locally
Option 2: Docker Setup
- Build the Docker image
- Run the container locally
Option 3: SSE with Docker
- Build the Docker image with SSE
- Run locally or deploy to cloud platform
Claude Desktop Configuration
{
"mcpServers": {
"terminal": {
"command": "python",
"args": ["path/to/server.py"]
}
}
}