AssemblyAI MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 6 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
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.
The OpenAI Agents SDK auto-discovers all 6 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
- 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 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.
How to Connect AssemblyAI to OpenAI Agents SDK via MCP
Follow these steps to integrate the AssemblyAI MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from AssemblyAI
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
AssemblyAI MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect AssemblyAI to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 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.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.