How to Use the Dub.co MCP in CrewAI

Deploy a specialized CrewAI agent team to research, track, and optimize your link campaigns using Dub.co.

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Connect Dub.co MCP to CrewAI

Create your Vinkius account to connect Dub.co 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 Dub.co with CrewAI

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Autonomous link research with CrewAI teams

Assign a research agent to use `get_url_metatags` and `get_link_details` to audit your existing content. The agent compiles insights on your top-performing URLs while a separate agent handles the reporting. This separation of duties lets your crew handle link management at scale. You define the goal, and the agents use the MCP Server to pull the necessary data to achieve it.

Collaborative link creation for CrewAI

Let one agent draft campaign links while another agent uses `create_short_link` to finalize them. Because CrewAI agents share memory, they coordinate these tasks without duplicating work or creating redundant links. This keeps your link strategy consistent. The agents ensure every short link is generated according to your campaign guidelines.

Performance monitoring for CrewAI agents

Set up a monitor agent that periodically runs `get_workspace_analytics`. If the agent detects a drop in traffic, it can alert the rest of your crew to investigate specific links. This proactive approach keeps your marketing performance high. The agents handle the observation and response, so you only intervene when there is a significant issue.

Setup guide

Set up Dub.co 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 Dub.co tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL directly to the agent's MCP configuration. Once connected, your CrewAI agents can discover and call all 10 available tools immediately.

Yes. You can grant your entire crew access to the same MCP Server. The agents share context, allowing them to collaborate on managing your links effectively.

The MCP Server enforces your workspace permissions. Your CrewAI agents only see the link metadata and analytics you have explicitly enabled for the connected token.

Data exists only in the agent's short-term memory during the task. The MCP Server ensures no sensitive link configuration data is cached or stored by the agent crew once the session completes.

Yes. You can restrict your CrewAI agents to only use specific tools like `list_links` or `get_workspace_analytics`. This limits what your agents can do with your Dub.co workspace.

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