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Vinkius

Type Definition Consistency Checker Connector for AI agents.

3 live capabilities

Keep TypeScript, Zod, and Pydable schemas perfectly in sync.

Live agent request Type Definition Consistency Checker / Connector

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AI Agent

Why people use Type Definition Consistency Checker

Stop Schema Drift with Type Definition Consistency Checker

This Connector automates that entire audit. Your agent scans the definitions and hands you a clean report of exactly where your schemas have diverged.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You stop shipping broken API contracts.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Breaking changes in API updates

    You added a required field to a Pydantic model but forgot the Zod schema.

  2. Real-world use case 02

    Verifying frontend/backend parity

    After a large refactor, you run an audit to ensure no interfaces were left behind in the migration.

  3. Real-world use case 03

    Auditing TypeScript interface drift

    A teammate changed an interface type from string to number; your agent catches it before the PR is merged.

Complete set · 3capabilities

The complete Type Definition Consistency Checker capability set.

These are the exact actions your AI can choose when you ask it to work with Type Definition Consistency Checker.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Type Definition Consistency Checker.

  1. 01 Capability

    Inspect structure

    Breaks down a single definition into its raw metadata. Use this to see exactly what fields and types are parsed.

  2. 02 Capability

    Sync definitions

    Runs a full audit across multiple definitions at once. This is your primary capability for catching drift across the whole stack.

  3. 03 Capability

    Compare definitions

    Compares two specific type definitions to find differences. It is great for reviewing a single pull request change.

Set up in minutes

One URL. Then ask Type Definition Consistency Checker to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Type Definition Consistency Checker from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_e9qkPrv0oxwaJFM5IRMYH0SAdmGX3uUy7kc4Yxip/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Type Definition Consistency Checker, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Type Definition Consistency Checker for the conversation.

Where the request belongs

Work Type Definition Consistency Checker can move forward.

Built around the request

Full-stack engineers and backend developers who are tired of debugging undefined errors caused by silent schema changes.

01

Full-Stack Engineer

Checking if a new Pydantic field is reflected in the Zod validation logic during a feature update.

02

Backend Developer

Ensuring that API contract changes do not break existing TypeScript interfaces in the frontend repo.

03

QA Engineer

Verifying that automated test schemas match the actual production models before a release.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
JSON Schema Strict Validator logo
01 3 capabilities

JSON Schema Strict Validator

Perform deterministic JSON validation against Draft-07 and 2020-12 schemas with strict property enforcement.

View Connector
Exact Type Inference Validator logo
02 Managed Connector

Exact Type Inference Validator

Analyze TypeScript source code to detect implicit 'any', type assertions, and unannotated declarations.

View Connector
Zod Schema Error Flattener logo
03 3 capabilities

Zod Schema Error Flattener

Transforms complex, deeply nested ZodError objects into flat, field-centric error dictionaries for UI consumption.

View Connector
TypeScript Excellence Prover logo
04 1 capability

TypeScript Excellence Prover

AI agents produce unsafe TypeScript loaded with `any` types, @ts-ignore overrides, empty catch blocks, and event-loop blocking operations. This prover enforces absolute type safety, zero-workaround policies, typed error schemas, decoupled architecture, and optimized async execution.

View Connector
JSON Schema Validator logo
05 3 capabilities

JSON Schema Validator

Validate JSON documents and lint schemas for structural integrity.

View Connector
JSON Schema Validator and Flattener logo
06 3 capabilities

JSON Schema Validator and Flattener

Strictly validate JSON against schemas and flatten nested structures using dot notation.

View Connector

Bring your own AI

Change the model, client or framework. Keep Type Definition Consistency Checker connected.

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Before you connect

Questions about Type Definition Consistency Checker.

The practical details behind the request, access and result.

How does Type Definition Consistency Checker prevent production errors?

It catches type mismatches and missing fields in your schemas before you deploy, preventing runtime crashes caused by unexpected data shapes.

Can I use Type Definition Consistency Checker with Zod and Pydantic?

Yes. It is specifically designed to audit the synchronization between Zod, Pydantic, and TypeScript definitions.

Does Type Definition Consistency Checker work for TypeScript interfaces?

Absolutely. It parses TypeScript interfaces to ensure they align with your backend models.

How do I find mismatches using Type Definition Consistency Checker?

You simply ask your agent to run an audit across your schema files, and it will report any discrepancies found.

What happens if my schemas are out of sync?

The Connector identifies the exact fields where the types or optionality markers do not match, allowing you to fix them immediately.

What types of definitions can I check?

The capability supports typescript_interface, zod_schema, and pydantic_model formats.

How does the capability detect errors?

It uses deterministic AST parsing to extract field names, types, and optionality markers, then performs set comparison across your provided definitions.

Can I use this for a single Pull Request review?

Yes, you can use the compare_definitions capability to perform a targeted comparison between a base definition and a target definition.

One connection away

Give your agent a direct line to Type Definition Consistency Checker.

Connect Type Definition Consistency Checker once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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