filesystem vs lightdash_mcp
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | lightdash_mcp by poddubnyoleg | |
|---|---|---|
| Stars | ★ 85,748 | ★ 19 |
| 30d uses | — | — |
| Score | 77 | 43 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 2 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
lightdash_mcp · Summary
MCP server connecting AI assistants to Lightdash analytics platform for data discovery and visualization management.
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
lightdash_mcp · Use cases
- AI assistants analyzing business data by exploring tables and creating visualizations
- Automating dashboard creation and management through natural language instructions
- Generating ad-hoc data queries based on conversational analysis needs
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.
lightdash_mcp · Install
Installation
pip install lightdash-mcpClaude Desktop Configuration
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"lightdash": {
"command": "uvx",
"args": ["lightdash-mcp"],
"env": {
"LIGHTDASH_TOKEN": "ldt_your_token_here",
"LIGHTDASH_URL": "https://app.lightdash.cloud",
"LIGHTDASH_PROJECT_UUID": "your-project-uuid"
}
}
}
}