Bring Conversational Ai
to Google ADK
Learn how to connect Voiceflow to Google ADK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Voiceflow MCP Server?
Connect your Voiceflow account to any AI agent and simplify how you build, test, and monitor your conversational assistants through natural language conversation.
What you can do
- Agent Interaction — Send messages and trigger actions in your Voiceflow agents to test responses and flows instantly.
- Knowledge Base (RAG) Control — Query your agent's KB directly for answers and list uploaded documents and tags.
- State Management — Retrieve, update, or reset user conversation states and variables to debug complex logic.
- Transcript Analysis — List and fetch full conversation logs for any project to monitor user interactions.
- Operational Monitoring — Retrieve user feedback (upvotes/downvotes) and monitor project configurations in real-time.
How it works
1. Subscribe to this server
2. Enter your Voiceflow API Key and Version ID
3. Start managing your conversational ecosystem from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Conversation Designers — quickly test agent responses and query the knowledge base via simple AI commands.
- AI Developers — debug user states and inspect transcripts during the development and testing cycle.
- Product Managers — monitor user feedback and conversation logs directly from the workspace.
Built-in capabilities (12)
Reset user session
Get user feedback
Get project details
Get user conversation state
Get transcript details
Send message to Voiceflow agent
List KB documents
List KB document tags
List Voiceflow projects
List conversation transcripts
Ask the Knowledge Base
Update user state/variables
Why Google ADK?
Google ADK natively supports Voiceflow as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Voiceflow
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Voiceflow tools with BigQuery, Vertex AI, and Cloud Functions
Voiceflow in Google ADK
Voiceflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Voiceflow 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 Voiceflow in Google ADK
The Voiceflow 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 12 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
Voiceflow for Google ADK
Every tool call from Google ADK to the Voiceflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I query my Voiceflow Knowledge Base directly via AI?
Yes! Use the query_kb tool with your question. Your agent will trigger the Voiceflow RAG system and return the answer based on your uploaded documents.
How do I see the transcripts for a specific project?
Run the list_transcripts query with your Project ID. The agent will return a list of past conversation logs, which you can then inspect using get_transcript.
Is it possible to reset a user's session via AI?
Absolutely. Use the delete_state tool and provide the User ID. This will permanently clear the conversation history and variables for that specific session.
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