Voiceflow MCP Server for Google ADKGive Google ADK instant access to 12 tools to Delete State, Get Feedback, Get Project, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Voiceflow as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Voiceflow app connector for Google ADK is a standout in the Industry Titans category — giving your AI agent 12 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="voiceflow_agent",
instruction=(
"You help users interact with Voiceflow "
"using 12 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 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.
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.
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.
The Voiceflow MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Voiceflow tools available for Google ADK
When Google ADK connects to Voiceflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-ai, chatbot-design, rag-pipeline, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Voiceflow to Google ADK via MCP
Follow these steps to wire Voiceflow into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the 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 Voiceflow MCP Server
Google ADK provides unique advantages when paired with Voiceflow 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 Voiceflow
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 Voiceflow tools with BigQuery, Vertex AI, and Cloud Functions
Voiceflow + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Voiceflow MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Voiceflow and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Voiceflow tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Voiceflow regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Voiceflow
Example Prompts for Voiceflow in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Voiceflow immediately.
"List all my Voiceflow projects."
"Ask my KB: 'What is the return policy for international orders?'"
"Show me the last 3 transcripts for the 'Customer Support Bot'."
Troubleshooting Voiceflow MCP Server with Google ADK
Common issues when connecting Voiceflow to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkVoiceflow + Google ADK FAQ
Common questions about integrating Voiceflow MCP Server with Google ADK.