How to Use the 123FormBuilder MCP in AutoGen

Q: How do I give my AutoGen agents access to the 123FormBuilder MCP Server?

Install the extension with pip install -U "autogen-extmcp". Then, use the mcpservertools function, passing it your server URL. This function returns a list of tools that you can provide directly to your AssistantAgent during initialization.

Q: How would an AutoGen team decide which 123FormBuilder form to delete?

You could have one agent use listactiveforms to get a list of all forms. Another agent could then use listformentries on each form to check for recent activity. They could debate, and if a form has had no submissions for a year, they might agree to run removeform.

Deploy a team of AutoGen agents to debate and execute complex 123FormBuilder tasks, from creation to cleanup.

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Setup 123FormBuilder with AutoGen

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Perplexity

Debate Form Modifications

One agent proposes a change, suggesting a new name for a form using `update_form_info`. A second "QA" agent can then use `get_form_details` to verify the change and check for naming convention conflicts before approving. It's a conversation between agents about managing your account. This stops one-off mistakes. Instead of a single agent blindly making changes, you build a system of checks and balances. The agents have to convince each other that a change is correct before it's finalized.

Govern Data Deletion with Multiple Agents

A "Cleanup" agent might propose deleting old submissions by calling `remove_entry`. But an "Archive" agent can intervene, check the submission date with `get_entry_details`, and argue that the data must be exported first. They negotiate the correct procedure. You avoid accidental data loss. Deletion is no longer a simple API call; it's a consensus-driven action. You can even have a human-in-the-loop agent that has to give the final approval before `remove_form` or `remove_entry` is actually run.

Build a Form Management Crew

Assign roles. A "Creator" agent's only allowed tool is `create_new_form`. A "Manager" agent can use `list_active_forms` and `update_form_info`. A "Data Analyst" agent can only use `list_form_entries` and `get_entry_details`. They work together, but stay in their lanes. This enforces separation of concerns at the agent level. You don't have one super-agent with the keys to the kingdom. You have a team of specialists, which makes your system more secure and easier to debug when something goes wrong.

Setup guide

Set up 123FormBuilder 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 123FormBuilder 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="123FormBuilder_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent 123FormBuilder data")
print(result.messages[-1].content)

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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="123FormBuilder_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent 123FormBuilder 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 123FormBuilder. 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 123FormBuilder MCP in AutoGen

Install the extension with `pip install -U "autogen-ext[mcp]"`. Then, use the `mcp_server_tools` function, passing it your server URL. This function returns a list of tools that you can provide directly to your `AssistantAgent` during initialization.

Yes, this is a key part of AutoGen's design. When you get the list of tools from the MCP server, you can filter it before passing it to an agent's constructor. This lets you create specialized agents, like one that can only read data and another that can only delete it.

You could have one agent use `list_active_forms` to get a list of all forms. Another agent could then use `list_form_entries` on each form to check for recent activity. They could debate, and if a form has had no submissions for a year, they might agree to run `remove_form`.

Yes. For example, a "Planner" agent could decide a new form is needed. It would instruct a "Worker" agent to execute `create_new_form`. Then, a "Verifier" agent could use `get_form_details` to confirm the form was created with the correct settings.

The agent conversation happens within your AutoGen environment. When an agent needs to use a tool, it makes a call to the Vinkius MCP Server. That server call is ephemeral, processing your form data in a zero-retention, sandboxed environment, and then the result is sent back to your agent.

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