Can my agent transcribe an audio file from a public URL?

Yes. Use the 'transcribe_url' tool. Provide the public URL of the audio file (WAV, MP3, etc.) and specify the model (e.g., 'nova-2'). The agent will dispatch the request to Deepgram and return the transcribed text instantly.

How do I generate speech from text using the agent?

Use the 'speak_text' tool. Provide the text script and the target voice model (e.g., 'aura-asteria-en'). Your agent will trigger the high-fidelity Aura voice engine and return the binary audio stream data.

Can I monitor my remaining project balance via chat?

Absolutely. Use the 'get_balances' tool with your project ID. The agent will retrieve your current wallet thresholds and funding limits directly from Deepgram to ensure your audio pipelines stay active.

Deepgram MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Deepgram
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Deepgram"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 10 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

Speech-to-Text (STT) — Dispatch automated transcription requests for remote audio URLs using the lightning-fast Nova-2 model to consume explicit WAV/MP3 web streams
Text-to-Speech (TTS) — Generate high-fidelity audio from raw text using Aura voices, outputting the exact binary stream footprint natively from your chat
Usage Monitoring — Analyze specific global bounds hitting /usage to map literally terabytes of exact API transcription times and TTS byte usage
Project & Key Management — List and create ephemeral Deepgram access boundaries (API keys) and isolate organizational tenants where Audio AI billing is enforced
Wallet Oversight — Retrieve explicit cloud logging tracing explicit Vault limits and verify direct wallet thresholds to ensure pipelines never drop
Identity & Invites — Manage developer limits by listing members and sending team invites to specific project UUIDs strictly

The Deepgram MCP Server exposes 10 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 Deepgram to OpenAI Agents SDK via MCP

Follow these steps to integrate the Deepgram 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 10 tools from Deepgram

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

Deepgram MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Deepgram to OpenAI Agents SDK via MCP:

create_key

Identify precise active arrays spanning native Gateway auth

delete_key

Inspect deep internal arrays mitigating specific Plan Math

get_balances

Retrieve explicit Cloud logging tracing explicit Vault limits

get_usage

Perform structural extraction of properties driving active Account logic

list_keys

Provision a highly-available JSON Payload generating hard Customer bindings

list_members

Dispatch an automated validation check routing explicit Gateway history

list_projects

Identify bounded CRM records inside the Headless Deepgram Platform

send_invite

Identify precise active arrays spanning native Hold parsing

speak_text

Enumerate explicitly attached structured rules exporting active Billing

transcribe_url

Irreversibly vaporize explicit validations extracting rich Churn flags

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 this audio: https://example.com/recording.mp3 using nova-2"

"Generate speech for: 'The future of AI is agentic' using aura-asteria-en"

"Show me my Deepgram usage for this month"

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

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

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?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.