
Connect API Design Prover 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. Stop building APIs that break downstream services.
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.

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.
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.
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.
01
1 capability in this set.
Part of 1 available through API Design Prover.
- 01
Validate API design
You must: (1) MAP VERBS. every endpoint mapped to its HTTP verb with semantic correctness. GET = read (idempotent, cacheable, no side effects). POST = create (non-idempotent). PUT = full replace (idempotent, client sends entire resource). PATCH = partial update (only changed fields). DELETE = remove (idempotent). Any deviation from these semantics must be justified. "convenience" is not a justification, (2) DEFINE VERSIONING. method (URL path /v1/ preferred for visibility, header Accept-Version for flexibility, NEVER query params), what constitutes a breaking change (removing/renaming fields, changing types, altering error codes, removing endpoints), deprecation timeline (minimum 6 months), old version sunset policy, migration guides, (3) SHOW RESPONSE SHAPE. the EXACT JSON envelope every consumer receives on EVERY endpoint. Same structure for success, error, single resource, and list. Consumers should never need conditional parsing based on which endpoint they called, (4) SPECIFY PAGINATION. cursor-based (for real-time feeds, no count) or offset/limit (for stable datasets, with count). Max page size enforced server-side (never trust client). Default page size. Metadata returned (total, next_cursor, has_more), (5) CONTRACT ERRORS. structured error responses for every failure mode. RFC 7807 ({ type, title, status, detail, instance }) or equivalent with machine-readable code, human-readable message, correlation ID for tracing, and validation error array for 422s. If rejected, your API has a design flaw that will cost consumers integration time. Fix it. Structured reflection capability for REST/HTTP API design (Stripe/GitHub-grade, RFC 7807 compliant). Forces the agent to define verb semantics, versioning with deprecation, response envelope shape, pagination bounds, and error contracts BEFORE implementing an endpoint. Catches Verb Abuse (POST for reads, GET with side effects, PUT for partial updates), Unversioned APIs (no deprecation policy, breaking consumers silently), Shape Inconsistency (different response structures per endpoint. success vs error vs list), Unbounded Responses (no pagination, no max page size. returning 100K records in one call), and Uncontracted Errors (500 with "Internal Server Error" string instead of structured RFC 7807). Call once per API surface. Based on Stripe/GitHub API guidelines, RFC 7807 Problem Details, and REST API Design Rulebook (Masse 2011)
Automate a task
Put API Design Prover 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
API Design Prover 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put API Design Prover 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
903ms average. Fast in production.
API Design Prover is checked daily against the live service.
- Fastest day
- 697ms
- Slowest day
- 1159ms
- 14-day trend
- Slowing+13%
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 API Design Prover, so you can see the experience inside your AI.
It does not authenticate your account with API Design Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
API Design Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_qg8XbvSmxEnaSpHzTf8C0mUG7OY2r5bZJfEFviZ0/mcpClaude 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 — API Design Prover capabilities are ready to use.
{
"mcpServers": {
"api-design-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_qg8XbvSmxEnaSpHzTf8C0mUG7OY2r5bZJfEFviZ0/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 API Design Prover in Claude and other AIs
FAQ
Questions API Design Prover owners ask.
- 01
Why does API Design Prover require RFC 7807?
RFC 7807 (Problem Details) is the industry standard for HTTP API error shapes. It ensures that regardless of the endpoint or technology, client developers receive errors they can easily parse and handle.
- 02
What versioning methods are supported?
Path versioning (e.g., /v1/users), media type/header versioning, or query parameters. Path versioning is highly recommended due to its simple implementation and client compatibility.
- 03
Does it enforce GraphQL standards?
This capability is focused on REST APIs and HTTP resource design. For GraphQL or gRPC, you can adapt the pivots, but out-of-the-box checks validate HTTP status, HTTP verbs, and REST envelope consistency.
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Connect API Design Prover to Claude, Cursor, ChatGPT & more
