How to Use the AssemblyAI MCP in AutoGen

Q: How do I configure the AssemblyAI MCP Server for AutoGen?

Install autogen-extmcp and use mcpservertools with your Vinkius HTTP transport URL. The framework automatically converts the schema so you can pass the tools straight to your AssistantAgent.

Give your AutoGen multi-agent squads the ability to transcribe media, debate the contents, and extract key insights.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AssemblyAI MCP to AutoGen

Create your Vinkius account to connect AssemblyAI 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.

GDPR Free for Subscribers

Setup AssemblyAI with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent media analysis via the MCP Server.

AssemblyAI tools let your autonomous teams argue over the actual contents of an audio file. One agent fires `transcribe_audio` to pull the text, while a secondary compliance agent immediately reviews the output for policy violations. They do not just read the text blindly. A performance agent might push to process the whole file fast, while an accuracy-focused agent insists on using `get_transcript_sentences` to debate the nuance of a specific quote.

Collaborative transcript management.

Agents negotiate how to format and store the resulting dialogue. If a summary agent needs broader context, it will request `get_transcript_paragraphs` to read the room's general tone. Another agent might challenge the summary by pulling the raw feed via `get_transcript` to check for missed details. The MCP framework forces them to reach a consensus before presenting the final brief to the user.

Autonomous cleanup and auditing.

Managing cloud resources becomes a conversation rather than a cron job. Your infrastructure agent runs `list_transcripts` and suggests purging old files to save money. A record-keeping agent reviews the list. They approve the purge for anything older than thirty days. Once they agree, the system executes `delete_transcript` to permanently erase the targets.

Setup guide

Set up AssemblyAI 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 AssemblyAI 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="AssemblyAI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent AssemblyAI 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 AssemblyAI. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AssemblyAI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AssemblyAI MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius HTTP transport URL. The framework automatically converts the schema so you can pass the tools straight to your `AssistantAgent`.

Yes, you assign the toolset to specific agents within your chat group. A transcription specialist handles the API calls, while the rest of the squad waits for the text payload to start their debate.

The executing agent checks the status periodically. They will inform the group chat when the audio finishes processing, prompting the others to begin analyzing the results.

Simply omit the deletion tool from the array you pass to the agent constructor. If they do not know the command exists, they cannot argue about wiping your records.

Audio links and resulting text blocks pass strictly between your local environment and the provider. Vinkius hosts the connection in a stateless, ephemeral V8 isolate that retains absolutely zero memory of your conversations.

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