Turbular exposes SQL query execution and data retrieval capabilities for LLM agents. It connects to any database via JDBC, providing tools for schema inspection, query construction, and result handling. Developers use it to build AI agents that interact with relational databases, automate data analysis, or generate insights from structured data.
Turbular exposes SQL query execution and data retrieval capabilities for LLM agents. It connects to any database via JDBC, providing tools for schema inspection, query construction, and result handling. Developers use it to build AI agents that interact with relational databases, automate data analysis, or generate insights from structured data.
pip install turbularAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"raeudigerraeffi-turbular-github": {
"command": "uvx",
"args": [
"pip install turbular"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from turbular?"
No configuration required. This server works out of the box.
"What resources are available in turbular?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in turbular"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in turbular with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.