How to Use the AidaForm MCP in AutoGen

Q: How do I register AidaForm tools in AutoGen?

Install autogen-extmcp. Use mcpservertools with your Vinkius HTTP URL, and pass that list directly into your AssistantAgent constructor.

Q: Can my AutoGen agents delete spam responses in AidaForm?

Yes. A moderation agent can review incoming text via getresponse and immediately call deleteresponse if it detects bot activity or gibberish.

Let multiple AutoGen agents debate and design your next customer survey autonomously.

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Connect AidaForm MCP to AutoGen

Create your Vinkius account to connect AidaForm to AutoGen 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 AidaForm with AutoGen

Ask AI about this MCP

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Claude

Perplexity

AutoGen Consensus Creation

One agent wants a short survey to maximize conversions. Another pushes for detailed demographic questions. They debate the structure inside AutoGen before agreeing on a final layout. Once they reach a consensus, the execution agent calls `create_form` to build the actual asset. You get a fully optimized questionnaire without writing a single line of JSON.

Collaborative Response Analysis

Analyzing feedback requires different perspectives. A data scientist agent pulls raw numbers using `get_form_analytics` while a UX researcher agent reads text replies via `list_responses` through the AidaForm MCP Server. They compare notes in real time. If the researcher spots a recurring complaint, the data agent checks if that correlates with a drop-off point in the survey flow.

Automated Workspace Moderation

Cluttered environments slow down production. You can assign a janitor agent to run `list_workspaces` and map out all active campaigns across your account. If a survey hasn't received traffic in months, the agent proposes removing it. A manager agent reviews the request, approves it, and triggers `delete_form` to keep things clean.

Setup guide

Set up AidaForm MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes AidaForm tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="AidaForm_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent AidaForm data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="AidaForm_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent AidaForm data")
    print(result.messages[-1].content)

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 AidaForm. 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 AidaForm MCP in AutoGen

Install autogen-ext[mcp]. Use mcp_server_tools with your Vinkius HTTP URL, and pass that list directly into your AssistantAgent constructor.

Create a dedicated API agent that holds the tool permissions for update_form. Other agents must convince this specific persona to execute the changes.

Yes. A moderation agent can review incoming text via get_response and immediately call delete_response if it detects bot activity or gibberish.

Check your transport layer. The McpToolAdapter requires a valid StreamableHttpServerParams configuration pointing to your active Vinkius endpoint.

The contact details stay strictly between your local agent memory and the target API. Vinkius handles the MCP transport authentication but drops the connection state instantly, ensuring absolute privacy for your collected emails.

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