1xn-vmcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
1xn-vmcp by 1xn-labs | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 49 | ★ 85,748 |
| 30d uses | — | — |
| Score | 44 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 5 mo ago | this month |
1xn-vmcp · Summary
vMCP is a virtual MCP server platform that combines multiple MCP servers into a unified endpoint with customization capabilities.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
1xn-vmcp · Use cases
- Combining multiple MCP servers into a unified endpoint for AI workflows
- Customizing and extending MCP tools with personalized prompts and arguments
- Managing authentication across different AI clients (Claude, ChatGPT, VSCode)
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
1xn-vmcp · Install
Installation
Using uv (recommended):
uvx --from 1xn-vmcp@latest vmcp runUsing pip:
pip install 1xn-vmcp
vmcp runUsing Docker:
docker pull onexn/vmcp:latest
docker run -it onexn/vmcp:latest vmcp runClaude Desktop Configuration
Add to Claude Desktop's config.json:
{
"mcpServers": {
"vmcp": {
"command": "uvx",
"args": ["--from", "1xn-vmcp@latest", "vmcp", "run"]
}
}
}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.