How to Use the Kizeo Forms MCP in AutoGen

Q: How do I load Kizeo Forms tools into AutoGen?

Install the autogen-extmcp package. Use StreamableHttpServerParams with your URL to fetch the tools. Pass the resulting list into your AssistantAgent constructor.

Q: Can AutoGen agents list all available Kizeo Forms?

Yes. Any agent with access to the listallforms tool can pull the directory. They share this list in the conversation context so other agents know which IDs to target.

Q: Do AutoGen agents handle Kizeo Forms schema conversion?

The McpToolAdapter automatically translates the server's JSON schema into a format the agents understand. They read the required parameters natively.

Build AutoGen agent teams that debate, verify, and execute Kizeo Forms operations together via MCP tools.

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Setup Kizeo Forms with AutoGen

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Coordinate data pushes

The `push_data_to_form` tool requires a perfectly formatted JSON payload. In your AutoGen setup, a formatting agent constructs the payload while a validation agent checks it against the target schema. They negotiate fixes before executing the push. To get that schema, one agent runs `get_form_definition`. The team reviews the required fields and constraints. You get accurate submissions because multiple agents review the data before it hits the remote endpoint.

Debate Kizeo Forms user changes

The `create_new_user` tool provisions accounts with a name, email, and password. An HR agent proposes the creation, while an IT security agent verifies the email domain. They reach consensus before triggering the creation. The same logic applies to `delete_account_user` and `update_existing_user`. One agent identifies inactive accounts via `list_account_users`, and another approves the deletion. You build a self-auditing directory system.

Verify records via the MCP Server

The `search_form_data` tool accepts complex query filters. An analysis agent proposes a search criteria, and a data-fetching agent executes the call to pull the exact submission records. If the team needs to inspect a single record, they use `get_form_entry_data`. The agents discuss the contents of the submission and decide if further action is necessary based on the retrieved field values.

Setup guide

Set up Kizeo Forms 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 Kizeo Forms 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="Kizeo Forms_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Kizeo Forms 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="Kizeo Forms_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kizeo Forms. 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 Kizeo Forms MCP in AutoGen

Install the `autogen-ext[mcp]` package. Use `StreamableHttpServerParams` with your URL to fetch the tools. Pass the resulting list into your `AssistantAgent` constructor.

Yes. Any agent with access to the `list_all_forms` tool can pull the directory. They share this list in the conversation context so other agents know which IDs to target.

The `McpToolAdapter` automatically translates the server's JSON schema into a format the agents understand. They read the required parameters natively.

If an agent tries to run the creation tool without a password, the system kicks back an error. The agents see the failure, discuss the missing parameter, and prompt the user for the password.

Only your authenticated endpoint interacts with the remote host. We run the MCP environment inside a secure V8 Isolate that spins down immediately after the agents finish their task. Your proprietary form structures never touch persistent storage.

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