Deepgram MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Convert Text To Speech, Get Project Usage, List Api Keys, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Deepgram 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 Deepgram app connector for OpenAI Agents SDK is a standout in the Ai Frontier category — giving your AI agent 6 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="Deepgram Assistant",
instructions=(
"You help users interact with Deepgram. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Deepgram"
)
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 Deepgram MCP Server
Connect your Deepgram account to any AI agent and take full control of your speech-to-text (STT) and text-to-speech (TTS) workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from Deepgram through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Deepgram, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Transcription Orchestration — Convert speech from public audio or video URLs into high-fidelity text programmatically using the latest Nova-3 models with smart formatting and diarization
- Neural Speech Synthesis — Programmatically generate natural-sounding audio from text input using the high-speed Aura engine to coordinate voice-enabled interfaces
- Model Discovery — Access complete directories of high-performance STT and TTS models supported by Deepgram to ensure the perfect accuracy and latency for your content
- Project & Usage Monitoring — Programmatically track your API utilization, minute consumption, and request counts across multiple projects for instant operational reporting
- Credential Lifecycle — Retrieve identifiers for active API keys associated with your projects directly through your agent to maintain high-fidelity security oversight
The Deepgram 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.
All 6 Deepgram tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Deepgram through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, text-to-speech, transcription, 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.
Generate audio from text (TTS)
Check API usage and limits
List active API keys
List high-performance AI models
List your Deepgram projects
Transcribe an audio file via URL
Connect Deepgram to OpenAI Agents SDK via MCP
Follow these steps to wire Deepgram 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 Deepgram MCP Server
OpenAI Agents SDK provides unique advantages when paired with Deepgram 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
Deepgram + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Deepgram MCP Server delivers measurable value.
Automated workflows: build agents that query Deepgram, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Deepgram, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Deepgram tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Deepgram to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Deepgram in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Deepgram immediately.
"Transcribe the audio from this URL: 'https://static.deepgram.com/examples/interview_segments_nuwav.wav'."
"Convert this text to speech: 'Deepgram is the fastest way to add voice to your AI'."
"List all active API keys for project 'proj_123'."
Troubleshooting Deepgram MCP Server with OpenAI Agents SDK
Common issues when connecting Deepgram to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Deepgram + OpenAI Agents SDK FAQ
Common questions about integrating Deepgram 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.