machinegrade/validate

Overview

Deterministic validation for AI-generated artifacts. Supports JSON Schema, OpenAPI response, and SQL checks. Returns typed verdicts with fix hints through a metered API or MCP.

Best for

Best for
Developers building deterministic checks into AI output pipelines

Use cases

• Validate AI-generated JSON against a schema
• Check AI-produced OpenAPI responses for conformance
• Run SQL validation with fix hints in CI or MCP workflows

Notes

Deterministic validation for AI-generated artifacts. Supports JSON Schema, OpenAPI response, and SQL checks. Returns typed verdicts with fix hints through a metered API or MCP.

1 stars on GitHub. Last updated 2026-07-26. Licensed MIT.

Use cases

• Validate AI-generated JSON against a schema
• Check AI-produced OpenAPI responses for conformance
• Run SQL validation with fix hints in CI or MCP workflows

Pros

• Typed verdicts make failures machine-readable
• Fix hints help developers correct outputs quickly
• Supports multiple artifact types including JSON Schema, OpenAPI, and SQL

Cons

• Metered API means usage costs can add up
• Only 1 GitHub star suggests limited community adoption
• No stated support for validation formats beyond the three listed

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.