How to Use the Easelly MCP in CrewAI

Deploy autonomous design crews using Easelly and the CrewAI framework.

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Connect Easelly MCP to CrewAI

Create your Vinkius account to connect Easelly 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 Easelly with CrewAI

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Perplexity

Assign design tasks to CrewAI agents

Create a specialized crew where one agent manages `create_infographic` and another handles data analysis. They use shared memory to ensure the report reflects the latest insights. This allows for complex operations without you needing to step in. Each agent knows its role and executes the tools assigned to it.

Automate infographic lifecycle with CrewAI

Set up a monitor agent that uses `list_infographics` to check for expired reports. If one is found, it triggers a workflow to refresh the data using `update_infographic`. Your agents maintain the library for you. It's an autonomous loop that keeps your visual reporting up-to-date.

Render final reports using CrewAI agents

Once the data is finalized, the moderator agent calls `generate_pdf` to create the final document. The output is then passed to your storage agent for archival. This completes the end-to-end process. You define the goal, and the crew uses the available tools to get the job done.

Setup guide

Set up Easelly 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 Easelly tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL into the agent's mcps list. The framework handles the connection automatically and makes the tools available for the crew.

Yes. By using shared memory, multiple agents can coordinate their tool calls to `update_infographic` to build complex, multi-layered designs.

You can filter which tools an agent can access. This lets you restrict specific agents from calling `generate_pdf` while allowing others to do so.

The framework logs every tool call made by your agents. You can review these logs to see exactly how your crew is interacting with the server.

The server uses a zero-trust model. It only processes the specific instructions sent by the agents and does not store or share your design history outside of your account.

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