AssemblyAI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Delete Transcript, Get Chapters, Get Sentiments, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AssemblyAI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The AssemblyAI app connector for OpenAI Agents SDK is a standout in the Ai Frontier category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="AssemblyAI Assistant",
instructions=(
"You help users interact with AssemblyAI. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AssemblyAI"
)
print(result.final_output)
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
Connect your AssemblyAI account to any AI agent and take full control of your high-fidelity audio transcription and speech intelligence workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from AssemblyAI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AssemblyAI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Speech-to-Text Orchestration — Programmatically transcribe public audio or video URLs using state-of-the-art MARS models with superhuman accuracy
- Audio Intelligence — Extract high-fidelity insights including automated summaries, sentiment analysis, and topic detection directly through your agent
- Speaker Diarization Architecture — Retrieve detailed utterances separated by speaker labels to coordinate meeting minutes and interview transcripts perfectly
- Content Discovery — Access automated chapters and high-fidelity video recaps to maintain a perfectly coordinated media library
- Lifecycle Management — Monitor transcription job status and manage your directory of recent transcripts directly through your agent for instant reporting
The AssemblyAI MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 AssemblyAI tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to AssemblyAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-intelligence, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Delete a transcript
Get auto-chapters
Get sentiment analysis
Get speaker labels
Get auto-summary
Get topic detection
Get transcript status/result
List recent transcripts
Transcribe audio URL
Connect AssemblyAI to OpenAI Agents SDK via MCP
Follow these steps to wire AssemblyAI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the AssemblyAI MCP Server
OpenAI Agents SDK provides unique advantages when paired with AssemblyAI through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
AssemblyAI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AssemblyAI MCP Server delivers measurable value.
Automated workflows: build agents that query AssemblyAI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AssemblyAI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AssemblyAI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AssemblyAI to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for AssemblyAI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AssemblyAI immediately.
"Transcribe this podcast URL: 'https://example.com/audio.mp3' and enable speaker diarization."
"Show my 5 most recent transcription jobs."
"Get the sentiment analysis for transcript 'tr_123'."
Troubleshooting AssemblyAI MCP Server with OpenAI Agents SDK
Common issues when connecting AssemblyAI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AssemblyAI + OpenAI Agents SDK FAQ
Common questions about integrating AssemblyAI MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.