How to Use the Dryfta MCP in CrewAI

Q: How do I monitor my CrewAI agents using Dryfta?

You can have a moderator agent check getdryftaaccountmetadata to ensure the crew stays within your API limits.

Deploy specialized agent crews to manage your Dryfta events.

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Connect Dryfta MCP to CrewAI

Create your Vinkius account to connect Dryfta 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 Dryfta with CrewAI

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Collaborative Event Management for CrewAI

Assign specific tasks to different agents in your crew. One agent calls `list_event_attendees` to gather data, while another uses `search_attendees_by_keyword` to find specific VIPs. They share context to complete complex operations. You define the hierarchy and watch the agents execute the work together.

Autonomous Session Oversight

Let a monitor agent track your program by calling `list_upcoming_sessions`. When a change occurs, the agent updates your records automatically. This keeps your event schedule accurate. The crew handles the data polling so your team doesn't have to watch the dashboard.

Automated Submission Auditing

Task a specialized agent with reviewing abstract submissions. It uses `list_submitted_abstracts` to fetch the queue and filters them based on your criteria. Your crew processes the list and flags relevant entries. It saves hours of manual sorting for every event cycle.

Setup guide

Set up Dryfta 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 Dryfta tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Dryfta transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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="Dryfta Analyst",
        goal="Access and analyze Dryfta data via MCP.",
        backstory="Expert analyst with direct Dryfta access.",
        tools=mcp_tools,
    )

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

You pass the server URL to your agent definition. The agents then gain access to the tools to perform their assigned research and actions.

Yes. CrewAI uses shared memory so one agent can fetch data and the next can act on it without extra configuration.

It does. You can structure your crew so a lead agent delegates specific data-gathering tasks to subordinates using these tools.

You can have a moderator agent check `get_dryfta_account_metadata` to ensure the crew stays within your API limits.

The server only exposes the specific attendee details you request. All data access is contained within the agent's memory during the task execution.

Use it with your favorite AI tools

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

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