
Connect Apiary 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. Manage your entire API lifecycle using natural conversation.
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 · 10 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 10 available through Apiary.
- 01
Run tests
Get or run Dredd-style API tests against an Apiary project
- 02
Get API
Get the full API Blueprint source code of an Apiary API project
- 03
Get doc URL
Get the documentation and mock server URLs for an Apiary API project
- 04
List apis
Apiary is an API design-first platform. List all API projects on Apiary
05-07
3 capabilities in this set.
Part of 10 available through Apiary.
- 05
Publish blueprint
Use with valid Markdown blueprint/Swagger. Publish (update) the API Blueprint of an Apiary API project
- 06
Get team
Get details of a specific Apiary team
- 07
List teams
List all teams the authenticated user belongs to on Apiary
08-10
3 capabilities in this set.
Part of 10 available through Apiary.
- 08
Get me
Get the authenticated Apiary user profile
- 09
List team apis
List all API projects belonging to a specific Apiary team
- 10
List team members
List all members of an Apiary team
Real work
What teams actually run
Updating a Deprecated Endpoint
Instead of manually editing the blueprint, ask your agent to fetch the current API, modify the endpoint definition, and publish the update in one go.
Onboarding a New Team Member
Use the team capabilities to list all members and then check which APIs that new user has access to, ensuring proper permissions from day one.
Pre-Release Documentation Check
Before a major release, run tests against the latest blueprint and retrieve the documentation URLs to ensure everything is validated and ready for consumers.
Discovering Team Assets
Need to know what APIs the 'billing-team' owns? List the team first, then list all associated APIs to get a complete inventory.
Automate a task
Put Apiary 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
Apiary 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 Apiary 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
969ms average. Fast in production.
Apiary is checked daily against the live service.
- Fastest day
- 751ms
- Slowest day
- 1204ms
- 14-day trend
- Improving-18%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 10 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 Apiary, so you can see the experience inside your AI.
It does not authenticate your account with Apiary. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Apiary Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_UAsHBD3gjamXcRpVpwIeIHmn77OKcfcfMA4F8oBO/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 — Apiary capabilities are ready to use.
{
"mcpServers": {
"apiary-mcp": {
"url": "https://edge.vinkius.com/vk_preview_UAsHBD3gjamXcRpVpwIeIHmn77OKcfcfMA4F8oBO/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 Apiary in Claude and other AIs
Who it's for
Built for the work Apiary owners hand off.
If you work with APIs, this MCP is for you. It lets you manage the entire API development and documentation cycle without leaving your chat window. You'll spend less time context-switching and more time validating and publishing code.
- 01
Backend Engineer
Ask your agent to fetch the current blueprint, write new endpoint specifications, and publish them back automatically.
- 02
Technical Writer
Easily review and fix API documentation formatting, then submit those changes directly to the remote server.
- 03
Engineering Manager
List all active APIs under your team, oversee member permissions, and check the current testing status.
FAQ
Questions Apiary owners ask.
- 01
Does this MCP work with my existing APIs?
Yes. This MCP is designed to manage your existing API design and specification processes within the Apiary platform. You use it to read, validate, and update blueprints for APIs already in your workspace.
- 02
What is the difference between listing APIs and listing team APIs?
Listing all APIs shows every project in your entire workspace. Listing team APIs limits the scope, showing only the projects that belong to a specific team you are interested in.
- 03
Can I use this to write documentation?
You can use the MCP to publish documentation. After you provide the new markdown code, the MCP publishes it, and Apiary automatically refreshes the mock server and the public documentation URL.
- 04
Is this just a directory of APIs?
No, it's a fully functional connector. Vinkius hosts and manages this MCP, allowing your AI client to actively run tests, retrieve blueprints, and manage team data, not just list it.
- 05
What if I need to check user permissions?
You can use the team capabilities. You can list all team members and check the details of a specific team to understand the current user roles and permissions.
- 06
Can the agent fetch the exact mock server endpoints for one of my APIs?
Yes. You can use the get_doc_url capability to retrieve both the public facing documentation url and the private mock server endpoint string. Your agent can immediately use this url to simulate requests internally using other modules or tests.
- 07
Am I able to update the Blueprint markup completely through the agent?
Absolutely. Instruct your AI agent to fetch the blueprint with get_api. Once read into context, prompt the agent to make your desired changes (e.g. 'Add a new POST route for user creation'). Then, instruct it to use publish_blueprint to upload the newly revised markdown.
- 08
How does the team feature list function mapping work?
Apiary enables collaboration. Utilizing list_teams, the agent finds the slugs of your organizations. Then, using list_team_apis, it fetches all collaborative APIs available for that precise team. This hierarchy avoids hallucinating random endpoint repositories.
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Connect Apiary to Claude, Cursor, ChatGPT & more
