Bring Api Design
to CrewAI
Create your Vinkius account to connect Apiary to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Apiary MCP Server?
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
- Subscribe to this server
- Enter your Personal Apiary Token
- 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
Built-in capabilities (10)
Get the full API Blueprint source code of an Apiary API project
Get the documentation and mock server URLs for an Apiary API project
Get the authenticated Apiary user profile
Get details of a specific Apiary team
Apiary is an API design-first platform. List all API projects on Apiary
List all API projects belonging to a specific Apiary team
List all members of an Apiary team
List all teams the authenticated user belongs to on Apiary
Use with valid Markdown blueprint/Swagger. Publish (update) the API Blueprint of an Apiary API project
Get or run Dredd-style API tests against an Apiary project
Why CrewAI?
When paired with CrewAI, Apiary becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Apiary tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Apiary in CrewAI
Why run Apiary with Vinkius?
The Apiary connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Apiary using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Apiary and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Apiary to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Apiary for CrewAI
Every request between CrewAI and Apiary is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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