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 Google ADK?
Google ADK natively supports Speechmatics as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
- —
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Speechmatics
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
- —
Seamless integration with Google Cloud services means you can combine Speechmatics tools with BigQuery, Vertex AI, and Cloud Functions
Speechmatics in Google ADK
Speechmatics and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Speechmatics to Google ADK 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 Google ADK
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 Google ADK 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 Google ADK
Every tool call from Google ADK 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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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