Compatible with every major AI agent and IDE
What is the 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.
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_jobsandget_job. - Usage & Security — Track your account consumption with
get_usageand generate temporary keys for secure client-side access usingcreate_temp_key.
How it works
- Subscribe to this server
- Enter your Speechmatics API Key
- Start transcribing audio or generating speech directly from Claude, Cursor, or any MCP client
Who is this for?
- Content Creators — Automatically generate subtitles (SRT) for videos or transcribe podcasts in seconds.
- Developers — Integrate speech capabilities into apps without managing complex audio infrastructure.
- Data Analysts — Convert large volumes of recorded meetings or calls into searchable text for analysis.
Built-in capabilities (8)
Create a new batch transcription job
Create a temporary API key
Delete a transcription job
Generate speech from text (TTS)
Get details for a specific job
Retrieve the transcript for a job
Get usage statistics
List recent transcription jobs
Why OpenAI Agents SDK?
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.
- —
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
Speechmatics in OpenAI Agents SDK
Speechmatics and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Speechmatics to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Speechmatics in OpenAI Agents SDK
The Speechmatics 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Speechmatics for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Speechmatics MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What formats can I get my transcripts in?
You can use the get_transcript tool to retrieve results in json, txt, or srt (subtitle) formats. Simply specify the format parameter when calling the tool.
Which voices are available for Text-to-Speech?
The generate_tts tool supports four high-quality voices: sarah, theo, megan, and jack. You can choose the one that best fits your content's tone.
How do I check if my transcription job is finished?
Use the get_job tool with your specific job_id. It will return the current status (e.g., running, completed) and metadata about the processing task.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
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