An astronaut overseeing a futuristic data hub

Connect Openapi Validator Engine to ChatGPT and Claude

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. Catch schema errors before you generate broken code.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through @seriousme/openapi-schema-validator.

  1. 01

    Validate openapi

    The validate_openapi capability checks a JSON string against official OpenAPI and Swagger schemas. It returns the version detected, the validity status, and a list of specific errors with their exact paths.

Real work

What teams actually run

01

SDK Generation Safety

Verify a spec is valid before asking your agent to write a TypeScript or Python client.

02

Partner Integration

Check a third-party API specification for errors before you start writing integration code.

03

Automated Quality Gates

Use the validation results to block the deployment of broken API definitions.

04

Auto-generated Spec Cleanup

Find and fix structural issues in specs produced by automated documentation capabilities.

Automate a task

Put @seriousme/openapi-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

@seriousme/openapi-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 @seriousme/openapi-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

1051ms average. Fast in production.

@seriousme/openapi-schema-validator is checked daily against the live service.

Daily averagePeak 1383ms
Oct 3Today
Fastest day
881ms
Slowest day
1383ms
14-day trend
Improving-25%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 @seriousme/openapi-schema-validator, so you can see the experience inside your AI.

It does not authenticate your account with @seriousme/openapi-schema-validator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

@seriousme/openapi-schema-validator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_G95x3PwWbp62LMB6m5PHyPKsw6CprV2yBUtgMX7s/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — @seriousme/openapi-schema-validator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "openapi-validator-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_G95x3PwWbp62LMB6m5PHyPKsw6CprV2yBUtgMX7s/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 @seriousme/openapi-schema-validator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work @seriousme/openapi-schema-validator owners hand off.

This MCP is built for developers who rely on automated code generation from API definitions.

  • 01

    Backend Engineers

    They use it to ensure their published API specs are structurally perfect for consumers.

  • 02

    Frontend Developers

    They use it to verify partner specs before generating client SDKs.

  • 03

    DevOps Engineers

    They implement it as a quality gate to reject invalid specs in CI/CD pipelines.

FAQ

Questions @seriousme/openapi-schema-validator owners ask.

  • 01

    Which OpenAPI versions are supported?

    The MCP supports Swagger 2.0 and OpenAPI versions 3.0, 3.1, and 3.2.

  • 02

    Does this MCP require an internet connection to validate?

    No, the validation schemas are embedded, so it performs all checks locally without external calls.

  • 03

    How do I find where the error is in my spec?

    The capability returns a JSON pointer for every error, showing the exact path where the issue exists.

  • 04

    Can I use this to prevent bad code generation?

    Yes, you can use the validation results as a gate to ensure a spec is valid before your agent generates an SDK.

  • 05

    What happens if the spec is valid?

    The capability returns a status of 'Valid: true' and indicates there are zero errors.

  • 06

    Which OpenAPI versions does it support?

    Swagger 2.0, OpenAPI 3.0.x, OpenAPI 3.1.x, and OpenAPI 3.2.x. The version is auto-detected from the spec.

  • 07

    Does it validate $ref references?

    Yes. The validator checks that all $ref pointers resolve to existing schema definitions. Missing or circular references are reported as errors.

  • 08

    Can I use this as a CI/CD quality gate?

    Absolutely. If isValid is false, block code generation and SDK publishing. The error paths pinpoint exactly what to fix.

Connect @seriousme/openapi-schema-validator to Claude, Cursor, ChatGPT & more