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Vinkius

Tool Interface Contract Validator Connector for AI agents.

3 live capabilities

Prevent runtime errors in agentic capability workflows

Live agent request Tool Interface Contract Validator / Connector

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AI Agent

Why people use Tool Interface Contract Validator

Stop agent failures with capability Interface Contract Validator schema testing

This MCP changes that by bringing deterministic testing to your agent's capabilities. Instead of guessing, you use it to verify that every capability output matches your expectations perfectly. You get a clear, actionable report on exactly where the mismatch is, so you can fix the code and get back to building.

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

What Vinkius changes

You get a deterministic way to prove your capabilities won't break your agent's logic.

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

One account · 6,100+ Connectors

  1. Real-world use case 01

    Fixing broken agent loops

    An agent keeps retrying a task because a capability returns a string instead of an integer.

  2. Real-world use case 02

    Hardening capability inputs

    You're worried a capability will crash if it receives a null value.

  3. Real-world use case 03

    Verifying new capability deployments

    You just wrote a new capability for your agent.

Complete set · 3capabilities

The complete Tool Interface Contract Validator capability set.

These are the exact actions your AI can choose when you ask it to work with Tool Interface Contract Validator.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Tool Interface Contract Validator.

  1. 01 Capability

    Generate test suite

  2. 02 Capability

    Analyze compliance report

  3. 03 Capability

    Validate contract

Set up in minutes

One URL. Then ask Tool Interface Contract Validator to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tool Interface Contract Validator 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_51fH8i3RG8gHcmJrIRC3JWYn79gq3qKzdx39r97g/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 Tool Interface Contract Validator, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Tool Interface Contract Validator for the conversation.

Where the request belongs

Work Tool Interface Contract Validator can move forward.

Built around the request

This is for developers and AI engineers who are tired of debugging why their agents are failing in production due to unexpected data formats.

01

AI Engineer

Testing capability reliability and ensuring agentic loops don't break due to schema drift.

02

Backend Developer

Validating that API wrappers and capability implementations strictly follow defined contracts.

03

LLM Ops Engineer

Monitoring and auditing the interface integrity of capabilities used in production agent workflows.

Bring your own AI

Change the model, client or framework. Keep Tool Interface Contract Validator connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Tool Interface Contract Validator.

The practical details behind the request, access and result.

How does the Capability Interface Contract Validator prevent agent loops?

It stops loops by ensuring capabilities return the exact data types your agent expects. When a capability returns a malformed response, the agent often tries to correct it repeatedly; this MCP catches those errors before they cause a loop.

Can I use Capability Interface Contract Validator with any AI client?

Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf, you can use this to validate your capability implementations.

What makes the Capability Interface Contract Validator different from a standard JSON validator?

Standard validators just check data. This MCP includes fuzzing capabilities to generate difficult, edge-case inputs specifically designed to break your capability implementations.

Does Capability Interface Contract Validator work for custom capability implementations?

Absolutely. It is designed specifically to verify that your custom-coded capabilities strictly follow the JSON schemas you have defined for them.

How do I get a compliance score from the Capability Interface Contract Validator?

The engine automatically calculates a score based on how many fields and types match your schema during a validation sweep, giving you a clear metric of reliability.

What is deterministic schema-aware fuzzing?

It is a testing method where inputs are generated based on the constraints of a JSON schema. Unlike random fuzzing, it uses specific rules to target edge cases like boundary values and nullability while remaining structurally valid.

How does the validator detect errors?

The engine uses check_output_integrity to compare the actual capability output against the expected schema, identifying structural violations, type mismatches, or extra fields.

Can I use this with any AI client?

Yes. This MCP server can be connected to Cursor, VS Code, Claude Desktop, Windsurf, and any other MCP-compatible client via Vinkius Edge.

What is contract drift?

Contract drift occurs when a capability's actual behavior diverges from its documented interface, causing failures in LLM orchestrators like LangChain or CrewAI.

How does the validation work?

The engine uses deterministic schema-aware fuzzing to generate test cases based on your inputSchema, specifically targeting boundary values and type transitions.

Can I see the test cases before running validation?

Yes, you can use the generate_test_suite capability to preview the specific test inputs that will be used to stress-test your capability's contract.

One connection away

Give your agent a direct line to Tool Interface Contract Validator.

Connect Tool Interface Contract Validator once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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