How to Use the AI Receptionist MCP in Google ADK

Sync your Google Cloud data with the AI Receptionist MCP Server using Google ADK for automated customer management.

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Connect AI Receptionist MCP to Google ADK

Create your Vinkius account to connect AI Receptionist 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.

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Setup AI Receptionist with Google ADK

Ask AI about this MCP

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Claude

Perplexity

Manage your customer knowledge base

Your agent invokes `list_aireceptionist_knowledge` to pull relevant company docs. It answers customer questions using your actual internal data. This keeps responses accurate. The agent pulls the latest article version before replying to any query.

Google ADK integration for booking automation

Hook your agent into your existing GCP workflows. It triggers `create_aireceptionist_booking` to register new leads without human intervention. It handles the heavy lifting of parsing dates and times. You just watch the bookings appear in your system.

Check agent identity and profile status

The `get_aireceptionist_me` tool lets your agent verify its own access level. It ensures the agent has the right permissions before touching your calendar. This adds a layer of safety to your automated operations. It prevents unauthorized agents from changing your schedule.

Setup guide

Set up AI Receptionist 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

Install Google ADK

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

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

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 AI Receptionist 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="AI Receptionist_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AI Receptionist tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AI Receptionist. 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.

Connect AI Receptionist now

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 AI Receptionist MCP in Google ADK

You pass the server URL to the toolset constructor. The framework handles the connection automatically.

Absolutely. The agent can ingest entire knowledge bases. It uses the tool to keep the context fresh.

Your call logs and customer contact details remain siloed. Only the specific agent instance you authorize can query your records.

You can restrict which functions the agent sees. Just use the tool name filter in your setup.

We store private identifiers in a restricted-access database. The agent never sees raw PII unless it is actively managing that specific conversation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the AI Receptionist MCP today

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