MCP Validator - инструмент для валидации кода, тестов и архитектуры через AI
AdiaUI A2UI validator — JSON Schema structural validation plus catalog-aware semantic validation (component exists, props match YAML). Split out from the compose engine so non-compose tooling (tests, MCP validator tools, CI gates) can depend on validation
Validate identifier/keywords name
Another JSON Schema Validator
Validate plugin/preset options
Additional JSON-Schema keywords for Ajv JSON validator
Decorator-based property validation for classes.
String validation and sanitization
Another JSON Schema Validator
Ajv class for JSON Schema draft-04
Express middleware for the validator module.
Object schema validation
Custom error messages in JSON Schemas for Ajv validator
Validate form asynchronous
validate form asynchronous
Parser/validator for OpenAPI 3.x definitions
TypeScript definitions for validator
Format validation for Ajv v7+
Automatically validate API requests and responses with OpenAPI 3 and Express.
A library for validating credit card fields
The ajv-8 based validator for @rjsf/core
Provides a fast, pretty robust e-mail validator. Only checks form, not function.
Sanity template validator for remote templates
Library to validate Fiori project input formats
Rails Active MCP enables secure Rails console access through Model Context Protocol (MCP) for AI agents and development tools like Claude Desktop. Provides safe database querying, model introspection, and code execution with comprehensive safety checks and audit logging. Features include: • Safe Ruby code execution with configurable safety checks • Read-only database query tools with result limiting • Rails model introspection (schema, associations, validations) • Dry-run code analysis for safety validation • Environment-specific configuration presets • Comprehensive audit logging and monitoring • Claude Desktop integration out of the box
Register AI agents, issue scoped tokens, enforce per-tool permissions, and query audit logs via the AgentsID API. Includes MCP middleware for validating tool calls in MCP servers.
rails-ai-context turns your running Rails app into the source of truth for AI coding assistants. Instead of guessing from training data or stale file reads, agents query 38 live tools (via MCP server or CLI) to get your actual schema, associations, routes, inherited filters, conventions, and test patterns. Semantic validation catches cross-file errors (wrong columns, missing partials, broken routes) before code runs — so AI writes correct code on the first try. Auto-generates context files for Claude Code, Cursor, GitHub Copilot, OpenCode, and Codex CLI. Works standalone or in-Gemfile.
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