Bring Voice Agents
to Google ADK
Learn how to connect SigmaMind AI to Google ADK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the SigmaMind AI MCP Server?
Connect your SigmaMind account to any AI agent and manage AI voice workflows.
What you can do
- Call Management — List calls, initiate new calls, and check status
- Agent Configuration — Create and inspect AI voice agents with custom prompts
- Transcript Access — Retrieve full conversation transcripts for completed calls
- Call Analysis — Get AI-generated sentiment and topic analysis
- Phone Numbers — View assigned phone numbers
- Health Check — Verify API connectivity
Built-in capabilities (10)
Verify API connectivity
Create a voice agent
Initiate a voice call
Get agent details
Get call details
Get call analysis
Get call transcript
List all agents
List all calls
List phone numbers
Why Google ADK?
Google ADK natively supports SigmaMind AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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 SigmaMind AI
- —
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 SigmaMind AI tools with BigQuery, Vertex AI, and Cloud Functions
SigmaMind AI in Google ADK
SigmaMind AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SigmaMind AI 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 | 3,400+ 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 SigmaMind AI in Google ADK
The SigmaMind AI 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 10 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
SigmaMind AI for Google ADK
Every tool call from Google ADK to the SigmaMind AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI initiate phone calls?
Yes. Use create_call with an agent ID and phone number. The AI agent handles the conversation automatically.
Can I read call transcripts?
Yes. get_call_transcript returns the full conversation for any completed call.
How do I create a new voice agent?
Use create_agent with a name and system prompt. The agent will use the prompt to guide conversations.
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
