filesystem vs SQL_MCP_Server
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | SQL_MCP_Server by pawankumar94 | |
|---|---|---|
| Stars | ★ 85,748 | ★ 13 |
| 30d uses | — | — |
| Score | 77 | 36 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | DatabaseDeveloper ToolsAI / LLM Tools |
| 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.
SQL_MCP_Server · Summary
SQLGenius is an MCP server that converts natural language to SQL queries using Gemini Pro with BigQuery integration.
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
SQL_MCP_Server · Use cases
- Business analysts exploring data without writing SQL
- Data teams creating dashboards for non-technical stakeholders
- Developers prototyping queries before implementation
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.
SQL_MCP_Server · Install
Installation
- Clone the repository:
git clone https://github.com/pawankumar94/sql_mcp_server.git
cd sql_mcp_server- Install dependencies:
pip install -r requirements.txt- Set up environment variables:
cp .env.example .env
# Edit .env with your BigQuery credentials- Launch with Streamlit:
streamlit run streamlit_app.pyFor Claude Desktop integration, add this to your config.json:
{
"mcpServers": {
"sqlgenius": {
"command": "python",
"args": ["path/to/sql_mcp_server/sql_mcp_server.py"]
}
}
}