How to Use the OpnForm MCP in CrewAI

Q: How do I add OpnForm to a CrewAI agent?

Install crewaitools. You pass the OpnForm MCP server URL directly into the mcps array when defining your agent. The framework exposes the tools automatically.

Q: Can I restrict which OpnForm tools a CrewAI agent can access?

Yes. Import MCPServerHTTP from crewai.mcp and use toolfilter. You can give one agent access to listsubmissions while blocking it from deleteform.

Equip your CrewAI agents with OpnForm tools via this MCP server. Build autonomous teams that create forms and analyze submissions.

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Connect OpnForm MCP to CrewAI

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Setup OpnForm with CrewAI

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CrewAI Agents Running OpnForm

The `create_form` and `update_form` tools let a specialized builder agent design data collection interfaces. A separate analyst agent then uses `list_submissions` to monitor incoming responses. Your crew shares memory across these tasks. The builder knows exactly which fields exist, so the analyst knows exactly what data to extract without you writing glue code.

Autonomous Submission Handlers

The `get_submission` tool allows a reviewer agent to inspect individual user responses in detail. If an entry violates your policies, a moderator agent triggers `delete_submission`. This sequence runs entirely in the background. You set the rules, and your CrewAI hierarchy maintains the quality of your collected data.

Audit Workspaces Automatically

The `list_workspaces` and `list_forms` tools give your monitor agent a complete map of your active endpoints. The agent scans the environment to ensure no outdated forms remain active. If it finds a deprecated campaign, it triggers `delete_form`. Your infrastructure stays lean because the crew actively manages the lifecycle of every asset.

Setup guide

Set up OpnForm 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 OpnForm tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install `crewai[tools]`. You pass the OpnForm MCP server URL directly into the `mcps` array when defining your agent. The framework exposes the tools automatically.

Yes. Import `MCPServerHTTP` from `crewai.mcp` and use `tool_filter`. You can give one agent access to `list_submissions` while blocking it from `delete_form`.

CrewAI handles shared memory natively. When Agent A pulls data using `get_form`, Agent B can reference that exact schema during its execution phase.

You configure a monitor agent to run on a schedule. It calls `list_submissions` periodically and triggers other agents if it finds new records.

The MCP tools interact with binary file metadata and submission records. Vinkius isolates your instance completely. Your crew connects via a dedicated, ephemeral environment that shares zero state with any other tenant.

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