How to Use the Skylink MCP in CrewAI

Q: Can crewai handle complex state changes with Skylink?

Yes. One agent can detect a change using getaccount, and another agent is instructed to execute the follow-up action via updatelead based on that detection.

Coordinate specialized teams using crewai.

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…and any MCP-compatible client

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Connect Skylink MCP to CrewAI

Create your Vinkius account to connect Skylink to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Skylink with CrewAI

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Specialized Lead Research Team

Assign one agent to call `list_leads` and another to run the analysis. The 'research' agent pulls all leads, while the 'analyst' agent reviews them for status changes using `get_lead`. The crew shares memory; the initial lead list passed by one agent becomes the input data for the next specialized agent.

Coordinated Deal Pipeline Review

One agent gets the current deal details via `get_deal`, and a second agent uses that information to call `update_deal`. This ensures the action taken (updating the stage) matches the research done. The process is monitored by a third 'moderator' agent, which verifies that the update aligns with overall business rules.

Full Contact Record Assembly

Assign one agent to pull basic data via `get_contact` and another agent to fetch historical calls using `list_calls`. The crew then synthesizes this into a single, comprehensive profile. This collaborative approach builds context. You're not just retrieving data; you're assembling a full picture from multiple sources.

Setup guide

Set up Skylink 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 Skylink tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You define roles for each agent. One agent might 'research' by calling `list_tasks`, and another agent is assigned the role of 'executor,' which then calls `create_task`.

The server touches contact records, deal information, call details, and task status. These elements form the basis of your collaborative operations.

Yes. One agent can detect a change using `get_account`, and another agent is instructed to execute the follow-up action via `update_lead` based on that detection.

The framework passes tool definitions from the MCP Server into the agent's shared memory. This gives every specialized agent access to the same functions, like `list_deals` or `get_account`.

The server handles contact records. You must architect your agents' roles so that sensitive PII is only viewed by the necessary specialized agent.

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