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How to Use the Ebby MCP in AutoGen

Let AutoGen agents debate and process Ebby audio transcripts via this MCP Server.

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Connect Ebby MCP to AutoGen

Create your Vinkius account to connect Ebby 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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Multi-agent consensus on Ebby transcripts in AutoGen

Build an AutoGen team where agents coordinate to process your Ebby audio. One AutoGen agent can call `list_latest_transcriptions` to find new Ebby files, while a second AutoGen agent runs `get_transcription_text` to analyze the content. If there is an AutoGen dispute about who said what, a third agent can call `list_transcription_speakers` to verify the Ebby speaker map. They resolve the conflict through structured AutoGen dialogue before presenting the final report.

Coordinate Ebby workflows via AutoGen MCP Server

Automate complex scheduling queues using multiple specialized AutoGen agents. An AutoGen coordinator agent calls `list_in_progress_transcriptions` to track active Ebby jobs, while a worker agent stands by to extract text using `get_transcription_text` the moment the job finishes. This AutoGen team dynamic prevents single-agent bottlenecks. The MCP Server gives every agent in your AutoGen group direct access to the Ebby API, allowing them to share the processing load and handle large batches of audio files.

Audit Ebby transcription usage dynamically in AutoGen

An AutoGen auditor agent can run `get_ebby_account_metadata` to check your current usage and limits. It can then debate with the AutoGen task planner agent whether to proceed with transcribing new Ebby files. By calling `quick_transcription_volume_audit`, the AutoGen auditor agent gets a clear picture of total Ebby activity. It can flag high consumption rates, prompting the AutoGen group to prioritize critical audio files.

Setup guide

Set up Ebby MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Ebby 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="Ebby_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Ebby MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Ebby server URL. Pass the resulting tool list directly into your AutoGen `AssistantAgent` constructor to give it Ebby access.
Yes, one AutoGen agent can use `search_transcriptions_by_name` to locate an Ebby file, while another calls `get_transcription_text` to read it and draft the summary.
An AutoGen agent can run `list_in_progress_transcriptions` to get a list of active Ebby jobs, then notify other agents in the conversation when the files are ready.
Yes, the `McpToolAdapter` automatically converts all 10 Ebby tools, from `get_ebby_account_metadata` to `list_transcription_speakers`, into schemas that AutoGen agents understand.
Your Ebby speaker lists and transcribed text are transmitted over a secure, single-token Vinkius connection. AutoGen processes these details locally within your isolated runtime environment, keeping your audio data private.

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