How to Use the Mokaform MCP in CrewAI

Deploy autonomous survey crews with CrewAI. Let specialized agents handle form creation, monitoring, and response analysis.

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Connect Mokaform MCP to CrewAI

Create your Vinkius account to connect Mokaform 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 Mokaform with CrewAI

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Autonomous form monitoring for CrewAI

Assign a monitor agent to use `list_responses` and `get_response`. It watches for new submissions and flags them for the rest of the crew. This removes the need for manual check-ins. Your agents act as a 24/7 operations team, processing data as soon as it hits the server.

Role-based form creation

Your research agent uses `create_form` to draft new surveys based on current trends. The moderator agent then uses `update_form` to refine the questions. Each agent has a specific job. This division of labor ensures your surveys stay relevant and accurate without you lifting a finger.

Efficient workspace navigation

The `list_workspaces` and `list_forms` tools allow your crew to manage multiple projects at once. They can switch contexts as needed to handle incoming requests. It keeps the crew organized. No matter how many forms you have, the agents find the right one and act on it immediately.

Setup guide

Set up Mokaform 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 Mokaform tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Mokaform 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 Mokaform. 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.

Why Choose Vinkius

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Common questions about Mokaform MCP in CrewAI

Yes. CrewAI uses shared memory, so once one agent fetches a response, the whole crew knows about it and can act accordingly.

You pass the endpoint URL to your agent definition. CrewAI handles the connection, exposing the tools to your agents automatically.

It does. You can use a tool filter to ensure only specific agents can access sensitive functions like deleting form responses.

Your form data is stored in isolated buckets. Access is restricted to your specific MCP token, ensuring no other users can see your results.

Yes. You can build a moderator agent that identifies duplicate or junk responses and calls `delete_response` to keep your data clean.

Use it with your favorite AI tools

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