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Deterministically validate AI outputs against JSON Schema, OpenAPI responses, and SQL syntax.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.machinegrade/validate" MCP server from askskill: Run: claude mcp add 'io-github-machinegrade-validate' -- npx -y @machinegrade/validate
Use the validate tool to check whether this AI-generated JSON matches the given JSON Schema, and list any mismatched fields: Schema: {...} Data: {...}Returns whether validation passed and describes any field or structural errors.
Use the validate tool to verify whether this API response complies with the OpenAPI definition: OpenAPI response spec: {...} Actual response: {...}Outputs whether the response matches the API spec and highlights invalid fields or types.
Use the validate tool to check whether the following AI-generated SQL is syntactically valid, and point out the error location: SELECT ...
Returns whether the SQL syntax is valid and provides the error location or reason.
Developers can use it to deterministically validate JSON or API-style outputs generated by an LLM before passing them downstream. It is especially useful when other systems must reliably consume the result.
When AI helps generate queries, data analysts or developers can validate SQL syntax before execution. This helps catch obvious errors earlier and reduces debugging effort.
It performs deterministic validation for AI-generated artifacts. Known validation targets include JSON Schema, OpenAPI responses, and SQL syntax.
Based on the provided description, it can validate JSON against a schema, API responses against an OpenAPI definition, and SQL syntax validity. For more details, see the source repository.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for those details.
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