How to Use the Paperform MCP in AutoGen

Q: How do I register the Paperform MCP Server in AutoGen?

Install autogen-extmcp via pip. Use mcpservertools with StreamableHttpServerParams to load the tools, then pass them to your AssistantAgent.

Let AutoGen agents debate and execute Paperform operations via this MCP Server.

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Connect Paperform MCP to AutoGen

Create your Vinkius account to connect Paperform to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Paperform with AutoGen

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Resolve Form Operations via AutoGen Debate

Your AutoGen agents can discuss operational tasks before executing them. For instance, a security agent can inspect a new webhook configuration using `get_form` before a performance agent calls `create_webhook`. This collaborative decision-making prevents faulty configurations from hitting your production forms. The agents negotiate the best setup parameters based on live data fetched via `get_account_info`.

Coordinate Multi-Agent Paperform Workflows

By exposing the MCP Server to your team of agents, you allow different specialists to handle distinct parts of your form pipeline. One agent can monitor submissions using `list_submissions` while another flags outliers. This separation of labor keeps your operations clean and modular. Your agents talk to each other to decide when to fetch details for a specific entry using `get_submission`.

Audit Custom Domains and Folders Cooperatively

AutoGen agents can verify your account setup by cross-referencing `list_custom_domains` and `list_folders`. If an agent detects an unorganized form, it can alert the coordinator agent to assign the proper tags. This cooperative auditing keeps your workspace clean without manual intervention. Your agents use `list_tags` to align on naming conventions before organizing new forms.

Setup guide

Set up Paperform 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 Paperform 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="Paperform_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install `autogen-ext[mcp]` via pip. Use `mcp_server_tools` with `StreamableHttpServerParams` to load the tools, then pass them to your `AssistantAgent`.

Yes, a developer agent can request to create a webhook, while a supervisor agent verifies the endpoint using `list_webhooks` before allowing `create_webhook` to run.

Agents can analyze the error message returned by a tool like `list_forms`. They will discuss the failure and attempt a corrected call automatically.

Yes, you can filter the tools returned by the adapter before passing them to the agent constructor, restricting access to sensitive actions.

Your form schemas, submission records, and webhook endpoints are protected through Vinkius's isolated MCP sandbox. No raw credentials or submission data are ever exposed to external networks during agent execution.

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