Speechmatics MCP Server for Google ADKGive Google ADK instant access to 8 tools to Create Job, Create Temp Key, Delete Job, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Speechmatics as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Speechmatics MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="speechmatics_agent",
instruction=(
"You help users interact with Speechmatics "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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.
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.
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.
The Speechmatics MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK 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 Google ADK
When Google ADK 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 job on Speechmatics
Create a new batch transcription job
Create temp key on Speechmatics
Create a temporary API key
Delete job on Speechmatics
Delete a transcription job
Generate tts on Speechmatics
Generate speech from text (TTS)
Get job on Speechmatics
Get details for a specific job
Get transcript on Speechmatics
Retrieve the transcript for a job
Get usage on Speechmatics
Get usage statistics
List jobs on Speechmatics
List recent transcription jobs
Connect Speechmatics to Google ADK via MCP
Follow these steps to wire Speechmatics into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Speechmatics MCP Server
Google ADK provides unique advantages when paired with Speechmatics through the Model Context Protocol.
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 + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Speechmatics MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Speechmatics and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Speechmatics tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Speechmatics regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Speechmatics
Example Prompts for Speechmatics in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Speechmatics immediately.
"Transcribe the audio file at this URL: https://example.com/audio.mp3"
"Generate an audio file of Sarah saying 'Welcome to the future of speech technology'."
"List my 5 most recent transcription jobs."
Troubleshooting Speechmatics MCP Server with Google ADK
Common issues when connecting Speechmatics to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSpeechmatics + Google ADK FAQ
Common questions about integrating Speechmatics MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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