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Speechmatics MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Create Job, Create Temp Key, Delete Job, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Speechmatics 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 for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Speechmatics MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="Speechmatics Assistant",
            instructions=(
                "You help users interact with Speechmatics. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Speechmatics
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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 Speechmatics MCP Server

Connect Speechmatics to your AI agent to handle advanced audio processing workflows. This server enables high-accuracy transcription and natural-sounding speech synthesis through a simple interface.

The OpenAI Agents SDK auto-discovers all 8 tools from Speechmatics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Speechmatics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Batch Transcription — Submit audio via URL or base64 and process large files with industry-leading accuracy using create_job.
  • Text-to-Speech (TTS) — Convert text into natural human speech using high-quality voices like Sarah, Theo, Megan, or Jack via generate_tts.
  • Transcript Retrieval — Export completed transcriptions in multiple formats including JSON, plain text, or SRT subtitles using get_transcript.
  • Job Management — Monitor the status of your processing tasks, list recent activity, and manage resources with list_jobs and get_job.
  • Usage & Security — Track your account consumption with get_usage and generate temporary keys for secure client-side access using create_temp_key.

The Speechmatics MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Speechmatics tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Speechmatics through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, text-to-speech, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create job on Speechmatics

Create a new batch transcription job

create

Create temp key on Speechmatics

Create a temporary API key

delete

Delete job on Speechmatics

Delete a transcription job

generate

Generate tts on Speechmatics

Generate speech from text (TTS)

get

Get job on Speechmatics

Get details for a specific job

get

Get transcript on Speechmatics

Retrieve the transcript for a job

get

Get usage on Speechmatics

Get usage statistics

list

List jobs on Speechmatics

List recent transcription jobs

Connect Speechmatics to OpenAI Agents SDK via MCP

Follow these steps to wire Speechmatics into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 8 tools from Speechmatics

Why Use OpenAI Agents SDK with the Speechmatics MCP Server

OpenAI Agents SDK provides unique advantages when paired with Speechmatics through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Speechmatics + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Speechmatics MCP Server delivers measurable value.

01

Automated workflows: build agents that query Speechmatics, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Speechmatics, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Speechmatics tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Speechmatics to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Speechmatics in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Speechmatics immediately.

01

"Transcribe the audio file at this URL: https://example.com/audio.mp3"

02

"Generate an audio file of Sarah saying 'Welcome to the future of speech technology'."

03

"List my 5 most recent transcription jobs."

Troubleshooting Speechmatics MCP Server with OpenAI Agents SDK

Common issues when connecting Speechmatics to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Speechmatics + OpenAI Agents SDK FAQ

Common questions about integrating Speechmatics MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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