How to Use the SnapCall MCP in Google ADK
Process massive enterprise datasets and actions using Google ADK's power for SnapCall.
Works with every AI agent you already use
…and any MCP-compatible client
Connect SnapCall MCP to Google ADK
Create your Vinkius account to connect SnapCall to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Key Capabilities
Run complex, multi-stage processes.
Your agent can initiate a call with `create_call`—it handles the setup. It can then request follow-up assets using `create_video_clip_request`. This allows your Google ADK workflow to manage an entire interaction lifecycle in one go.
Deep dive into conversation transcripts.
Don't just get a summary. Use `get_ai_insights_for_call` to run deep analyses on any call stream. The result goes beyond simple keywords, giving you actionable intelligence derived from the entire interaction.
Manage all account and webhook settings.
You can check your credentials with `get_account_info`. Need to list what triggers are active? Use `list_webhooks` or remove an old one with `delete_webhook`. It’s simple management for complex systems.
Set up SnapCall MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with SnapCall tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="SnapCall_agent",
model="gemini-2.0-flash",
instruction="You have access to SnapCall tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SnapCall. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about SnapCall MCP in Google ADK
Use it with your favorite AI tools
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Start using the SnapCall MCP today
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