How to Use the Transloadit MCP in AutoGen

Q: Which MCP Server tools are best suited for policy definition with Transloadit and AutoGen?

Use createtemplate and deletetemplate. This allows the agents to debate the necessity of new rules versus retiring obsolete ones, governing your overall system.

Q: If an assembly fails, how is that failure data handled by Transloadit and AutoGen?

The agents use getassembly to read the failure status. They then debate if a rerun using replayassembly or manual intervention is needed.

Drive consensus on file processing decisions using Transloadit within AutoGen's multi-agent framework.

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Setup Transloadit with AutoGen

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Facilitate consensus on job execution.

The agents can debate whether to run a process. One agent might call `create_assembly` while another challenges the need, forcing deliberation before proceeding. The final decision is based on negotiating tool outcomes. This multi-agent dialogue turns simple API calls into complex, consensus-driven workflows using the MCP Server.

Manage the full lifecycle of assemblies.

A security agent might run `get_assembly` to check a job's status. If it hits an error state, a separate performance agent decides if `replay_assembly` is necessary or if `cancel_assembly` should be used instead. This structured debate ensures that critical actions are only taken after multiple perspectives confirm the need.

Govern and define processing policies.

Agents negotiate template changes. One might suggest creating a new rule using `create_template`, while another insists on retiring an old one via `delete_template`. The system converges on the correct policy. This pattern allows you to model complex governance workflows around your MCP Server tools.

Setup guide

Set up Transloadit 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 Transloadit 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="Transloadit_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about Transloadit MCP in AutoGen

Transloadit's tools provide the objective data points for discussion. Agents can call `get_bill` or `list_assemblies`, and their conflicting outputs drive the multi-agent conversation.

Yes. The agents negotiate whether a process needs to be started (`create_assembly`), monitored (`get_assembly`), or stopped entirely (`cancel_assembly`).

The server handles file processing assemblies, template definitions, and billing information. These distinct data types feed the agents' reasoning process.

Use `create_template` and `delete_template`. This allows the agents to debate the necessity of new rules versus retiring obsolete ones, governing your overall system.

The agents use `get_assembly` to read the failure status. They then debate if a rerun using `replay_assembly` or manual intervention is needed.

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