data-api-builder vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
data-api-builder by Azure | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 1,410 | ★ 85,748 |
| 30d uses | — | — |
| Score | 53 | 77 |
| Official | — | ✓ |
| Categories | DatabaseDeveloper ToolsCloud Storage | File SystemDeveloper ToolsProductivity |
| Language | C# | TypeScript |
| Last commit | this month | this month |
data-api-builder · Summary
Azure's Data API Builder provides REST and GraphQL endpoints for Azure databases with upcoming MCP tools support.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
data-api-builder · Use cases
- Create REST and GraphQL APIs for Azure databases
- Build secure data access layers for applications
- Generate API endpoints for on-premises databases in any cloud
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
data-api-builder · Install
- Install .NET 8 or later runtime: https://get.dot.net
- Install the DAB command line tool:
``sh dotnet tool install microsoft.dataapibuilder -g ``
- Initialize and configure DAB with:
``sh dab init --database-type mssql --connection-string "@env('my-connection-string')" --host-mode development ``
- Add your database entities and start the server:
``sh dab add Todo --source "dbo.Todo" --permissions "anonymous:*" dab start ``
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.