Datasentry
Local-first MCP server for data-quality discovery, evidence, drift, and controlled repair.
- Transport
- Not stated
- Package
- —
- Registry id
- io.github.Jackxiaozhiren/datasentry
No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
DataSentry automatically detects data-quality problems, explains the evidence, and turns fixes into a previewable, verifiable, reversible workflow. The deterministic core runs locally, while LLMs are optional and AI may propose repairs but humans approve state-changing actions. DataSentry scans files, databases, and cloud objects with evidence-driven detectors.
Repair is deliberately conservative: propose → preview → apply to copy → verify → rollback, and the original file is never overwritten. The same evidence is exposed through multiple interfaces: CLI/TUI, REST, Web, MCP, JSON, Markdown, HTML, JUnit, and SARIF. Inputs include CSV, Parquet, JSONL, XLSX, DuckDB, SQLite, PostgreSQL, MySQL, and cloud objects.
The MCP stdio server exposes DataSentry's SDK to MCP-capable agents while preserving approval and repair boundaries.
Summary drafted from the project's own website. Every sentence is backed by text on that page and was reviewed before publishing.