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How to Use the SnapCall MCP in Google ADK

Process massive enterprise datasets and actions using Google ADK's power for SnapCall.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vinkius runs on Google ADK

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.

GDPR Free for Subscribers

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.

Setup guide

Set up SnapCall MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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.

agent.py
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 the `get_call_details` tool. You just need the specific call ID to pull up all the associated metadata, like who spoke when or what topics were covered.
You create webhooks for various triggers. The available actions include `call.started` and `clip.created`, letting your agent react automatically to key lifecycle moments.
Yes, you use `list_call_streams`. This function provides a reliable feed of the most recent call sessions, which is essential for auditing purposes.
You can archive or delete entire records using `archive_call_stream`. This gives you granular control over the lifecycle of call recordings, keeping your compliance requirements met.
This server touches various call stream records. You can check account details using `get_account_info` to verify the scope of personal data handled.

Start using the SnapCall MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for SnapCall. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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