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Apiary MCP Server

Name: Apiary
Availability: InStock
Author: Vinkius

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Manage your API design-first workflows via Apiary — read blueprints, publish docs, and run tests directly from your AI agent.

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What is the Apiary MCP Server?

The Apiary MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Apiary via 10 tools. Manage your API design-first workflows via Apiary — read blueprints, publish docs, and run tests directly from your AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

get_apiget_doc_urlget_meget_teamlist_apislist_team_apislist_team_memberslist_teamspublish_blueprintrun_tests

Tools for your AI Agents to operate Apiary

Ask your AI agent "Get the API Blueprint code for my project named 'payments-gateway'." and get the answer without opening a single dashboard. With 10 tools connected to real Apiary data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Apiary MCP Server capabilities

10 tools

get_api

Get the full API Blueprint source code of an Apiary API project

get_doc_url

Get the documentation and mock server URLs for an Apiary API project

get_me

Get the authenticated Apiary user profile

get_team

Get details of a specific Apiary team

list_apis

Apiary is an API design-first platform. List all API projects on Apiary

list_team_apis

List all API projects belonging to a specific Apiary team

list_team_members

List all members of an Apiary team

list_teams

List all teams the authenticated user belongs to on Apiary

publish_blueprint

Use with valid Markdown blueprint/Swagger. Publish (update) the API Blueprint of an Apiary API project

run_tests

Get or run Dredd-style API tests against an Apiary project

What the Apiary MCP Server unlocks

Connect your Apiary workspace to your AI agent and take full control of your API design, specification, and validation processes through natural conversation.

What you can do

Read API Blueprints — Fetch raw Markdown-based API Blueprints or Swagger files defining endpoints, methods, and parameters without leaving your editor
Publish Documentation — Instantly update your Apiary projects with new markdown code. Mock servers and public documentation sync automatically
Run Dredd Tests — Validate your backend implementation against the blueprint specifications using integrated tests
Team Management — Query team API projects, list team members, and manage your engineering ecosystem intuitively

How it works

1. Subscribe to this server
2. Enter your Personal Apiary Token
3. Start querying your APIs or instruct Claude/Cursor to refactor endpoints instantly

No copying and pasting back and forth to the Apiary browser editor.

Who is this for?

Backend Engineers — ask your assistant to fetch the current blueprint, write new endpoint specifications, and publish them back automatically
Technical Writers — easily review and fix API documentation formatting and submit changes directly to the remote server
Engineering Managers — list all active APIS under your team, oversee member permissions, and check the testing status

Frequently asked questions about the Apiary MCP Server

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.

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.

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.