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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Speechmatics tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Speechmatics without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every Speechmatics tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Speechmatics in Mastra AI
Speechmatics and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Speechmatics to Mastra AI 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 Mastra AI
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 Mastra AI 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 Mastra AI
Every tool call from Mastra AI 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
Explore More MCP Servers
View all →
MyCase Legal
16 toolsManage law practice via MyCase — cases/matters, clients, time tracking, invoices, and calendar through MyCase API.

Scale SERP
10 toolsEquip your AI agent with real-time Google Search data — run organic, news, shopping, and scholar queries effortlessly.

Greptile
11 toolsSearch and understand any codebase instantly with AI that reads your repositories and answers technical questions accurately.

Gitpod
26 toolsAutomate cloud development environments — create, start, and manage Gitpod workspaces and organizations directly from any AI agent.
