mcp-metabase-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-metabase-server by easecloudio | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 76 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | DatabaseProductivityAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
mcp-metabase-server · Summary
A comprehensive MCP server for Metabase providing 96 tools to manage dashboards, cards, databases, tables, and more.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-metabase-server · Use cases
- AI assistants can analyze business data by querying Metabase cards and dashboards
- Automate data reporting tasks through MCP tool calling
- Create and manage Metabase content programmatically via AI workflows
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
mcp-metabase-server · Install
Installation
**Using npx (Recommended):**
npx @easecloudio/mcp-metabase-server**Global install:**
npm install -g @easecloudio/mcp-metabase-server
mcp-metabase-server**Docker:**
docker build -t mcp-metabase-server .
docker run -it --rm \
-e METABASE_URL=https://your-metabase-instance.com \
-e METABASE_API_KEY=your_metabase_api_key \
mcp-metabase-serverClaude Desktop Integration
{
"mcpServers": {
"metabase": {
"command": "npx",
"args": ["@easecloudio/mcp-metabase-server"],
"env": {
"METABASE_URL": "https://your-metabase-instance.com",
"METABASE_API_KEY": "your_metabase_api_key"
}
}
}
}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.