4 #data-quality MCP Servers & Clients
Every MCP server and client below is tagged #data-quality — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to data-quality tools.
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Dingo MCP Server
DataEval
MCP server for the Dingo: a comprehensive data quality evaluation tool. Server enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules, and prompts listing. Official GitHub link: https://github.com/DataEval/dingo
Interzoid Data Quality
interzoid
An MCP (Model Context Protocol) server that exposes Interzoid's AI-powered data quality, matching, enrichment, and standardization APIs to AI agents and LLM applications.
Syntitan
cubigcorp
Syntitan MCP server — connect Claude and other MCP clients to Syntitan, the AI-Ready Data Platform that fills the missing layer between enterprise data management and AI execution.
Anomalyarmor
anomalyarmor
Data observability for engineering teams: alerts, freshness monitoring, schema drift detection, validity rules, lineage. Connect any MCP client (Claude Code, Cursor, Claude Desktop) via 53 structured tools across Snowflake, BigQuery, Postgres, Databricks, Redshift, ClickHouse, My
Frequently asked questions
What is a #data-quality MCP server?
- An MCP server tagged #data-quality implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access data-quality-related tools, data, or APIs.
How many #data-quality MCP servers and clients are there?
- mcp.so currently lists 4 MCP servers and clients tagged #data-quality.
How do I install a #data-quality MCP server?
- Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.