Validator MCP Server

AI-powered validator ai MCP server for agents. Supports validate json, validate email, validate. The validator mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 9 defined tools rather than through you.

What it actually does

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

Adding it to your client

@smithery/cli on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Its toolset

Everything the assistant can do here goes through one of these:

• Well — documented API
• Production-ready — Active maintenance
• Pro — ** $99/mo — Full MCP suite + EU AI Act tracking
• Enterprise — ** $499/mo — Custom dev + SLA + Dedicated support
• Website — meok.ai
• GitHub — CSOAI-ORG/validator-ai-mcp
• PyPI — pypi.org/project/validator-ai-mcp
• Domain — Purpose
• Tier — Price

Caveats

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• With 9 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Validator.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the validator mcp server does with a few real requests.

When to reach for it

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Validator's toolset — Well, Production-ready, Pro and 6 more — is a fair guide to whether it matches your workflow. It is maintained by CSOAI-ORG; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.