How to Use the 3Scribe MCP in AutoGen

Q: How do I track 3Scribe progress in AutoGen?

Your agents can periodically call getjob to monitor the task status. They can update the group chat on the progress.

Let your AutoGen agents debate and execute transcription tasks together.

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Connect 3Scribe MCP to AutoGen

Create your Vinkius account to connect 3Scribe 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 3Scribe with AutoGen

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Coordinate 3Scribe tasks in AutoGen

Your agents can discuss which files need processing before calling `create_job`. This ensures your team only transcribes what's necessary. The server returns a Job ID that your agents share. They decide together when to check for the final output.

Verify results with AutoGen agents

One agent calls `get_job` while another reviews the text for quality. They work out any issues before finalizing the transcript. This multi-agent approach catches errors faster than a single bot. You get reliable data from your audio sources.

Control 3Scribe jobs via AutoGen

Have your security agent call `delete_job` to clean up sensitive data once finished. It automates your compliance requirements. Your agents maintain the account state by listing and purging old tasks. You keep your workspace tidy without manual oversight.

Setup guide

Set up 3Scribe 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 3Scribe 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="3Scribe_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent 3Scribe 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="3Scribe_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent 3Scribe 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 3Scribe. 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.

Why Choose Vinkius

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Common questions about 3Scribe MCP in AutoGen

Pass the server tools into your AssistantAgent. The adapter converts everything automatically, so your agents can start calling functions right away.

Absolutely. You can set up one agent to retrieve the text and another to critique it. They will negotiate until they reach a consensus.

Yes, the tools are available to every agent in the group. You can assign the transcription task to a specific specialist agent.

Your agents can periodically call `get_job` to monitor the task status. They can update the group chat on the progress.

The server runs in a zero-trust sandbox. Only your authenticated agents have access to the audio files and the resulting transcription text.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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