How to Use the Docupilot MCP in AutoGen

Q: How do my agents check if a document is fully generated?

Your agents can poll the status by calling getdocumentgenerationstatus with the merge ID until the status returns as completed with a valid output URL.

Build AutoGen multi-agent networks that negotiate document data, audit schemas, and trigger Docupilot merges.

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Connect Docupilot MCP to AutoGen

Create your Vinkius account to connect Docupilot 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 Docupilot with AutoGen

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Multi-agent consensus for Docupilot merges via AutoGen

Connecting Docupilot template and merge tools to your AutoGen agent network enables collaborative drafting. Deploy an AutoGen team where one agent drafts data and another audits it, calling `get_template_merge_field_audit` to check that the draft contains every required variable. Once the AutoGen agents agree the data is complete, the execution agent calls `trigger_document_merge`. This cooperative loop prevents empty variables and structural errors in your generated Docupilot PDFs.

Automated error resolution with AutoGen

Exposing Docupilot error tracking and schema tools to your AutoGen debugging loop automates recovery. When a document run fails, your AutoGen agents can analyze the issue using `list_failed_document_merges` to fetch the error details. The AutoGen agents iterate on the fix until `get_template_schema` confirms the payload matches the Docupilot template requirements. They then re-run the merge, handling the entire recovery process without human intervention.

Manage Docupilot templates via multi-agent chat

Connecting Docupilot catalog tools to your AutoGen conversational interface via this MCP Server allows dynamic library management. One agent searches your library using `search_docupilot_templates`, while another checks account limits with `get_docupilot_account_metadata` to ensure sufficient credits remain. This keeps your automated AutoGen processes running smoothly. The agents coordinate to select the most cost-effective Docupilot templates or alert you if your billing tier limits are close to being reached.

Setup guide

Set up Docupilot 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 Docupilot 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="Docupilot_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You register the MCP tools with your AutoGen AssistantAgent. One agent can gather user inputs, a second agent runs `get_template_merge_field_audit` to validate, and a third triggers `trigger_document_merge`.

Yes, if a merge fails, your AutoGen agents can analyze the failure using `list_failed_document_merges` and negotiate a corrected payload to run the merge again.

Use the AutoGen MCP extension to load the server tools. You then pass the adapted tools directly into your AssistantAgent constructor so they can make calls like `list_docupilot_templates`.

Your agents can poll the status by calling `get_document_generation_status` with the merge ID until the status returns as completed with a valid output URL.

Vinkius uses a single-token gateway to execute the server inside a secure, zero-trust V8 isolate. Your API credentials, document schemas, and merge histories are processed purely in-memory and are never written to disk.

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