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Vinkius
Google ADKSDK
Google ADK
Speechmatics MCP Server

Bring Speech To Text
to Google ADK

Learn how to connect Speechmatics to Google ADK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create JobCreate Temp KeyDelete JobGenerate TtsGet JobGet TranscriptGet UsageList Jobs

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Speechmatics

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_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.

How it works

  1. Subscribe to this server
  2. Enter your Speechmatics API Key
  3. 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_job

Create a new batch transcription job

create_temp_key

Create a temporary API key

delete_job

Delete a transcription job

generate_tts

Generate speech from text (TTS)

get_job

Get details for a specific job

get_transcript

Retrieve the transcript for a job

get_usage

Get usage statistics

list_jobs

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

G
See it in action

Speechmatics in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

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.

Speechmatics
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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

The Vinkius Advantage

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.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

McpToolset not found

Update: pip install --upgrade google-adk

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