Validator Ai

By MEOK AI Labs — Validate JSON against schemas, check email deliverability, verify URLs, assess data quality, and validate API responses. Uses RFC-compliant checks and heuristic analysis.

Validator AI MCP Server - JSON schema validation, email/URL checking, data quality, and API response validation.

Installation

pip install validator-ai-mcp

Usage

# Run standalone
python server.py

# Or via MCP
mcp install validator-ai-mcp

Tools

validate_json

Validate JSON string, optionally against a JSON Schema. Schema as JSON string.

Parameters:

• data (str)
• schema (str)

validate_email

Validate email format, domain structure, and check for disposable addresses.

Parameters:

• email (str)

validate_url

Validate URL format, structure, and security characteristics.

Parameters:

• url (str)

validate_data_quality

Check a JSON dataset for quality issues: nulls, duplicates, type consistency, outliers. Pass data as JSON array of objects.

Parameters:

• data (str)

validate_api_response

Validate an API response body and structure. Required fields as comma-separated string.

Parameters:

• response_body (str)
• expected_status (int)
• expected_content_type (str)
• required_fields (str)

Authentication

Free tier: 15 calls/day. Upgrade at meok.ai/pricing for unlimited access.

Links

• Website: meok.ai
• GitHub: CSOAI-ORG/validator-ai-mcp
• PyPI: pypi.org/project/validator-ai-mcp

License

MIT — MEOK AI Labs