How to Use the bluebarry.ai MCP in CrewAI

Q: How do I add the bluebarry.ai MCP Server to a CrewAI agent?

You pass the Vinkius HTTP endpoint directly into the mcps parameter when defining your CrewAI agent. The agent instantly gains access to bluebarry.ai tools like listautomations and getautomationstatus.

Q: Can CrewAI agents share data from the bluebarry.ai YouTube analysis tool?

Yes, CrewAI uses shared memory so the agent running analyzeyoutube can pass the bluebarry.ai video breakdown directly to other agents in the crew.

Q: How do I restrict a specific CrewAI agent from sending bluebarry.ai WhatsApp messages via MCP?

You use the MCPServerHTTP class from CrewAI with a toolfilter to exclude sendwhatsapp from that specific agent's toolset. This keeps your bluebarry.ai messaging permissions locked down.

Coordinate a CrewAI agent team to manage your bluebarry.ai customer support and WhatsApp campaigns autonomously.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect bluebarry.ai MCP to CrewAI

Create your Vinkius account to connect bluebarry.ai 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.

GDPR Free for Subscribers

Setup bluebarry.ai with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Agent Support Coordination

The `list_agents` and `get_agent` tools expose active support agent settings to your CrewAI team. A CrewAI manager agent queries these bluebarry.ai tools to assign incoming customer queries to the right support profile. This setup lets your CrewAI agents collaborate on complex bluebarry.ai support tickets without human dispatchers. One agent checks the profile while another prepares the response.

CrewAI Autonomous WhatsApp Notifications

The `send_whatsapp` tool enables your CrewAI team to message customers directly when issues are resolved. A CrewAI supervisor agent monitors your system status and commands a notification agent to run this bluebarry.ai tool. This MCP Server ensures your CrewAI notification agent only fires the message after a QA agent approves the bluebarry.ai text. This prevents broken drafts from reaching your clients.

Video Support Analysis Pipelines

The `analyze_youtube` tool processes video bug reports so your CrewAI research agent can feed the video link to this bluebarry.ai tool and pass the technical details to a developer agent. The entire CrewAI pipeline runs without manual intervention. Your team receives a fully analyzed bug ticket with the bluebarry.ai YouTube breakdown already attached.

Setup guide

Set up bluebarry.ai 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 bluebarry.ai tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent bluebarry.ai 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="bluebarry.ai Analyst",
        goal="Access and analyze bluebarry.ai data via MCP.",
        backstory="Expert analyst with direct bluebarry.ai access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent bluebarry.ai 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 bluebarry.ai. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect bluebarry.ai now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about bluebarry.ai MCP in CrewAI

You pass the Vinkius HTTP endpoint directly into the `mcps` parameter when defining your CrewAI agent. The agent instantly gains access to bluebarry.ai tools like `list_automations` and `get_automation_status`.

Yes, CrewAI uses shared memory so the agent running `analyze_youtube` can pass the bluebarry.ai video breakdown directly to other agents in the crew.

You use the `MCPServerHTTP` class from CrewAI with a `tool_filter` to exclude `send_whatsapp` from that specific agent's toolset. This keeps your bluebarry.ai messaging permissions locked down.

Vinkius runs the server inside an isolated sandbox that queues incoming tool calls. Your CrewAI agents can query bluebarry.ai statuses and send messages simultaneously without causing race conditions.

Your bluebarry.ai agent configurations and WhatsApp numbers are protected by zero-trust network policies. No credentials or message payloads are logged or stored on the hosting platform.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript