How to Use the Apiary MCP in CrewAI

Deploy a CrewAI team to monitor your API ecosystem, update documentation, and enforce design standards automatically.

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Connect Apiary MCP to CrewAI

Create your Vinkius account to connect Apiary to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Apiary with CrewAI

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Deploy specialized agents for Apiary with CrewAI

Assign a researcher agent to `list_apis` and a documentation agent to `publish_blueprint`. Your crew collaborates to keep your API catalog clean. This setup allows for hierarchical execution where one agent prepares the data and another executes the update. You get a complete audit trail of every change.

Monitor API design health using CrewAI

Let your crew run `run_tests` periodically. If the tests fail, a moderator agent alerts your team or attempts a fix based on the blueprint source. Your agents watch the platform while you focus on higher-level tasks. You reduce the time between a design error and its detection.

Sync team permissions via CrewAI

Use `list_team_members` to verify access levels across your organization. Your agents flag discrepancies between your internal directory and the platform. This acts as a security monitor for your API projects. You ensure only the right people have access to sensitive design blueprints.

Setup guide

Set up Apiary MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Apiary tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Apiary Analyst",
    goal="Access and analyze Apiary data via MCP.",
    backstory="Expert analyst with direct Apiary access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Apiary transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Apiary Analyst",
        goal="Access and analyze Apiary data via MCP.",
        backstory="Expert analyst with direct Apiary access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Apiary transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apiary. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Apiary MCP in CrewAI

Yes, you configure the server transport for each agent. You can point different agents at different team contexts as needed.

You can set up tool filtering to require human sign-off. This prevents your agents from pushing blueprint changes without your final check.

The MCP server feeds into the crew's shared memory store. Every agent sees the same API blueprint source as it updates.

Your agents receive only the API design source, project lists, and test reports. No personal account credentials are ever exposed.

Your design files are processed in an ephemeral sandbox. Once the crew finishes the task, the session data is cleared.

Use it with your favorite AI tools

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