AssemblyAI MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add AssemblyAI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="assemblyai_agent",
tools=tools,
system_message=(
"You help users with AssemblyAI. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AssemblyAI MCP Server
Empower your AI agent to orchestrate your entire audio intelligence and transcription workflow with AssemblyAI, the leading platform for speech-to-text. By connecting AssemblyAI to your agent, you transform complex audio processing into a natural conversation. Your agent can instantly start transcription jobs from any URL, audit transcript results with high confidence, and manage job history without you ever touching a technical console. Whether you are analyzing podcast content or transcribing meetings, your agent acts as a real-time linguistic assistant, ensuring your audio data is always accessible and searchable.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use AssemblyAI tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Transcription Auditing — Start transcription jobs for any audio or video URL and retrieve cleaned text with speaker labels.
- Linguistic Oversight — Retrieve transcripts broken down by sentences or paragraphs to maintain a structured view of spoken content.
- Status Intelligence — Monitor the progress of long-running transcription jobs to ensure timely data delivery.
- Execution Management — List all past and active transcripts to maintain strict organizational control over your audio assets.
- Confidence Intelligence — Retrieve confidence scores for each transcription to verify the accuracy of your linguistic data.
The AssemblyAI MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AssemblyAI to AutoGen via MCP
Follow these steps to integrate the AssemblyAI MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from AssemblyAI automatically
Why Use AutoGen with the AssemblyAI MCP Server
AutoGen provides unique advantages when paired with AssemblyAI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use AssemblyAI tools to solve complex tasks
Role-based architecture lets you assign AssemblyAI tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive AssemblyAI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes AssemblyAI tool responses in an isolated environment
AssemblyAI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the AssemblyAI MCP Server delivers measurable value.
Collaborative analysis: one agent queries AssemblyAI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from AssemblyAI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using AssemblyAI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process AssemblyAI responses in a sandboxed execution environment
AssemblyAI MCP Tools for AutoGen (6)
These 6 tools become available when you connect AssemblyAI to AutoGen via MCP:
delete_transcript
Delete a transcription record
get_transcript
Get the result of a transcription job
get_transcript_paragraphs
Get the transcript broken down by paragraphs
get_transcript_sentences
Get the transcript broken down by sentences
list_transcripts
List all transcription jobs
transcribe_audio
Start a transcription job for an audio/video URL
Example Prompts for AssemblyAI in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with AssemblyAI immediately.
"Transcribe the audio file at https://example.com/podcast.mp3 using AssemblyAI."
"Show me the result for transcript ID xxxx."
"List all my past AssemblyAI transcripts."
Troubleshooting AssemblyAI MCP Server with AutoGen
Common issues when connecting AssemblyAI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"AssemblyAI + AutoGen FAQ
Common questions about integrating AssemblyAI MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect AssemblyAI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AssemblyAI to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.