How to Use the YesNo MCP in CrewAI

Q: Can YesNo help guide a crew running on CrewAI?

Yes. You can designate an agent to use getdecision when the team needs to break a deadlock, providing a random decision that guides the subsequent steps.

Guide multi-agent teams with random input using CrewAI and YesNo.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect YesNo MCP to CrewAI

Create your Vinkius account to connect YesNo 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 YesNo with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Breaking Agent Deadlocks

If your crew gets stuck in a loop or needs an arbitrary direction, have a dedicated agent call `get_decision`. This provides the necessary random yes/no/maybe input to move the collaboration forward. It's perfect for autonomous operations that need occasional external guidance.

Simulating Consensus with YesNo

You can assign a role to one agent whose sole job is to poll `get_decision`. This simulates checking for consensus or making an executive 'throw the dice' call. The shared memory of your crew then consumes this random outcome to guide its next action.

Structuring Random Input

The tool returns a clean yes/no/maybe decision paired with a fun GIF. This structure is ideal for an agent that needs to log both the choice and the visual evidence of how it was reached. This keeps your multi-agent process traceable.

Setup guide

Set up YesNo 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 YesNo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent YesNo 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 YesNo. 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 YesNo 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 YesNo MCP in CrewAI

Yes. You can designate an agent to use `get_decision` when the team needs to break a deadlock, providing a random decision that guides the subsequent steps.

Absolutely. The tool provides necessary external input—a random yes/no/maybe choice—that allows your crew to proceed autonomously when stuck.

It handles simple textual decisions (yes/no/maybe) and associated GIF metadata. This is random, chance-based input for your agents to consume.

Yes. You can simulate external randomness by having an agent call `get_decision`, allowing you to test how the entire crew reacts to unpredictable inputs.

It deals only with random textual decisions and GIF metadata. Because it's generating chance, there are no sensitive user records involved in the process.

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