Which JSON schema versions are supported?

This MCP supports Draft-07 and 2020-12 specifications.

How does the capability handle validation errors?

It identifies the exact paths within the JSON document where the validation failed.

Can I use this to check if my schema updates are safe?

Yes, you can use the compatibility capability to see if a new schema is a valid superset of your base schema.

What is the difference between validation and linting?

Validation checks a document against a schema, while linting checks the schema itself for internal errors or conflicts.

Do I need to host the MCP myself?

No, Vinkius hosts and manages the MCP so it is ready to use as soon as you connect your client.

What does validate_json_document do?

It checks a JSON document against a provided schema and returns validation errors with exact JSON Pointers.

How can I find logical errors in my schema?

You can use the lint_json_schema capability to detect unreachable constraints or conflicting types within your schema definition.

Can I check if a new schema version breaks my existing integration?

Yes, the evaluate_schema_compatibility capability compares a base schema with a new one to identify any breaking changes.

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Connect JSON Schema Validator to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Ensure your data structures are perfect every time.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through JSON Schema Validator.

01
Lint JSON schema
This capability performs structural linting on your JSON Schema. It finds unreachable constraints or conflicting definitions within the schema itself.
02
Evaluate schema compatibility
This capability checks if a new schema version is compatible with a base schema. It helps you avoid breaking changes during schema evolution.
03
Validate JSON document
This capability validates a JSON document against a specific schema. It identifies the exact paths where the document fails to meet the requirements.

Real work

What teams actually run

API Contract Testing

Verify that your API responses strictly follow the defined JSON schema.

Schema Versioning

Check if a new schema version is a valid superset of the previous one.

Data Pipeline Integrity

Validate incoming JSON payloads to prevent malformed data from entering your system.

Schema Cleanup

Use linting to find and remove redundant or unreachable constraints in your definitions.

Automate a task

Put JSON Schema Validator to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

JSON Schema Validator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put JSON Schema Validator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

718ms average. Fast in production.

JSON Schema Validator is checked daily against the live service.

Daily averagePeak 919ms

Oct 3Today

Fastest day: 519ms
Slowest day: 919ms
14-day trend: Improving-14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of JSON Schema Validator, so you can see the experience inside your AI.

It does not authenticate your account with JSON Schema Validator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

JSON Schema Validator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_wcVN6ru2KXI4lPbS9isndc7khYOy12YDatbPmrNo/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — JSON Schema Validator capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "json-schema-validator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wcVN6ru2KXI4lPbS9isndc7khYOy12YDatbPmrNo/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up JSON Schema Validator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work JSON Schema Validator owners hand off.

This MCP is built for developers who manage complex data contracts and automated pipelines.

01
Backend Engineers
They hand off JSON validation tasks to the agent to ensure API responses match expected types.
02
Data Engineers
They use the capability to verify that incoming data streams adhere to defined schemas.
03
DevOps Engineers
They check schema compatibility to prevent breaking changes in production environments.

FAQ

Questions JSON Schema Validator owners ask.

01
Which JSON schema versions are supported?
This MCP supports Draft-07 and 2020-12 specifications.
02
How does the capability handle validation errors?
It identifies the exact paths within the JSON document where the validation failed.
03
Can I use this to check if my schema updates are safe?
Yes, you can use the compatibility capability to see if a new schema is a valid superset of your base schema.
04
What is the difference between validation and linting?
Validation checks a document against a schema, while linting checks the schema itself for internal errors or conflicts.
05
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP so it is ready to use as soon as you connect your client.
06
What does validate_json_document do?
It checks a JSON document against a provided schema and returns validation errors with exact JSON Pointers.
07
How can I find logical errors in my schema?
You can use the lint_json_schema capability to detect unreachable constraints or conflicting types within your schema definition.
08
Can I check if a new schema version breaks my existing integration?
Yes, the evaluate_schema_compatibility capability compares a base schema with a new one to identify any breaking changes.

Explore

More in Development

Connect JSON Schema Validator to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Lint JSON schema

Evaluate schema compatibility

Validate JSON document

What teams actually run

API Contract Testing

Schema Versioning

Data Pipeline Integrity

Schema Cleanup

Building your own app? The connector is yours to use.

JSON Schema Validator Connector

Claude Desktop

Backend Engineers

Data Engineers

DevOps Engineers

Which JSON schema versions are supported?

How does the capability handle validation errors?

Can I use this to check if my schema updates are safe?

What is the difference between validation and linting?

Do I need to host the MCP myself?

What does validate_json_document do?

How can I find logical errors in my schema?

Can I check if a new schema version breaks my existing integration?

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