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Validate JSON and SQL schemas with AI-driven customizable lint rules.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "schema-lint-mcp" yet — see the docs or source repo.
Use schema-lint-mcp to review this SQL schema change, focusing on migration safety rules to detect breaking changes, column rename risks, and missing indexes, then suggest fixes.
A lint report listing high-risk changes, triggered rules, and recommended fixes.
Use schema-lint-mcp to validate this set of JSON Schemas against our team naming conventions, required-field definitions, and nested structure consistency, then flag violations.
A list of noncompliant fields, explanations of violated rules, and suggested standardized revisions.
Based on our data modeling conventions, design a lint rule set for schema-lint-mcp covering JSON and SQL schemas, including naming, structural constraints, and change review requirements.
A practical proposed rule set with each rule’s purpose, scope, and examples.
Validate JSON data against JSON Schema standards quickly and reliably.
Validate JSON payloads against schemas with precise error paths and results.
Manage database schemas with natural language, from requirements to full database design.
Validate JSON, emails, URLs, and API responses to catch quality issues fast.
Lets AI safely explore SQL schemas and run read-only database queries.
Validate SQL safely offline with read-only checks, masking, limits, and audit logs.