dvq MCP Server

Give your AI agent the ability to check whether data is actually correct.

Why an agent needs this

An agent that can query a database is useful. An agent that can tell you the data it just queried is wrong is trustworthy.

This MCP server exposes data validation as tools:

Related MCP server: Structured Data Validator & Transformer MCP Server

Install

npm install -g @dvq/mcp-server

Add to your MCP client config:

{
  "mcpServers": {
    "dvq": {
      "command": "npx",
      "args": ["-y", "@dvq/mcp-server"]
    }
  }
}

Example

Ask your agent: "Check this CSV before you import it"

The agent calls validate_csv and gets back:

{
  "score": 48,
  "summary": "Serious problems. Do not load this as-is.",
  "counts": { "high": 4, "mid": 1, "low": 1 },
  "rows_at_risk": [4, 5, 8],
  "issues": [
    {
      "type": "duplicate_key",
      "row": 4,
      "column": "order_id",
      "reason": "key repeats (first seen at row 3)",
      "fix": "a join on this column will produce duplicate output rows"
    }
  ]
}

Now the agent can tell you "don't import this yet — row 4 duplicates row 3's key" instead of silently building on broken data.

Pro

Free: single-table validation. Pro: validate_cross_table and watch_dataset (get notified when data breaks). https://checkout.dodopayments.com/buy/pdt_0Nq62Ecr9PnrPukjAEhaM?ref=mcp-server

License

MIT

All DataCheck tools

Product home: datacheck.pixharvest.com