data-quality-loop
Databases
Local
Enables autonomous data quality inspection and repair workflows. It scans DuckDB warehouses for anomalies, generates and verifies fixes in a dry-run copy, then applies them after validation, with full audit logging.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/k6246ypjup for deploy options, or install from https://github.com/auron-lmh/data-quality-loop (see README for MCP config).
2
GitHub
Install from https://github.com/auron-lmh/data-quality-loop and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.