How to Use the Bored MCP in CrewAI

Deploy specialized agents with CrewAI and Bored. Let your crew handle the planning while you focus on the results.

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Connect Bored MCP to CrewAI

Create your Vinkius account to connect Bored 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 Bored with CrewAI

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Perplexity

Bored tools for CrewAI crews

Give your research agent access to `find_activity`. It can scan for options that fit your specific constraints and report back to the team. This keeps your crew autonomous. They find the tasks without you needing to step in or provide manual input.

Inject variety into CrewAI operations

Add `get_random_activity` to your moderator agent. It can pick a random task to break up a repetitive sequence of operations. The tool fits right into the agent's action loop. It provides the unpredictability needed for complex, multi-agent simulations.

Key-based lookups for CrewAI

Use `get_activity_by_key` to confirm details during a handoff. When one agent finds an item, another can verify it using this tool. This ensures every agent shares the same context. It prevents errors that happen when agents have conflicting data.

Setup guide

Set up Bored 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 Bored tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Absolutely, just list the server in your agent configuration. Each agent in your crew can then invoke the activity tools.

They parse the returned JSON into their shared memory. This allows the whole crew to stay updated on the current task.

We treat all activity parameters as ephemeral. No records are kept of what your agents search for during their sessions.

It is built for that purpose. Your research agent will pull the data and pass it to the analysis agent automatically.

The server responds quickly to tool calls. Your agents won't hang while waiting for an activity lookup to finish.

Use it with your favorite AI tools

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

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