How to Use the Aircall MCP in Google ADK

Q: How do I get my Google ADK agent to use the Aircall tools?

You'll use the McpToolset from the Google ADK library, pointing it to your Vinkius server URL. Then you pass that toolset into the LlmAgent constructor. You can also filter which Aircall tools the agent can see.

Q: Can I feed Aircall call logs into BigQuery using a Google ADK agent?

Yes, that's a primary use case. The agent calls listcalls on the Aircall MCP Server and then uses the BigQuery tools to insert the data. It's a clean way to build a data pipeline.

Q: What's the best way to manage Aircall user availability with the Google ADK?

Build an agent that periodically calls listusers and getuserdetails. It can then update a status board, a Cloud SQL database, or trigger a Cloud Function based on who is available or busy.

Connect your Gemini-powered enterprise agents to Aircall using the Google ADK for analysis and operations on Google Cloud.

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Connect Aircall MCP to Google ADK

Create your Vinkius account to connect Aircall 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 Aircall with Google ADK

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Pull Aircall Data for BigQuery Analysis

Use an agent to pull operational data directly from Aircall. Your agent can run `list_calls` and `list_contacts` to get fresh data, then push it straight into a BigQuery table. No more manual CSV exports or brittle ETL scripts. Because the agent runs within your Google Cloud environment, it's a direct and secure pipeline. You can schedule it to run hourly, daily, or trigger it based on events in your GCP project.

Automate Team and User Operations

Build agents that act as your Aircall administrators. An agent can use `list_teams` and `list_users` to get a current roster of your organization. From there, it can check on individual availability with `get_user_details`. This is useful for building internal dashboards or automated routing systems. For example, an agent could check who's available in the support team and then assign an incoming ticket. It keeps your internal state in sync with Aircall's reality.

Long-Context Reasoning on Call Data

Gemini's massive context window changes how agents work with Aircall. Your agent can pull an entire call history with `list_calls`, hold it all in context, and reason about it. It can find patterns or summarize a customer's full interaction history. When it needs more info, it can use `get_call_details` to dig into specific calls. This MCP Server gives your long-context agent the raw data it needs to perform complex, multi-step tasks that weren't possible before.

Setup guide

Set up Aircall 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 Aircall 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="Aircall_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Aircall 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 Aircall. 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.

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Common questions about Aircall MCP in Google ADK

You'll use the `McpToolset` from the Google ADK library, pointing it to your Vinkius server URL. Then you pass that toolset into the `LlmAgent` constructor. You can also filter which Aircall tools the agent can see.

Yes, that's a primary use case. The agent calls `list_calls` on the Aircall MCP Server and then uses the BigQuery tools to insert the data. It's a clean way to build a data pipeline.

Build an agent that periodically calls `list_users` and `get_user_details`. It can then update a status board, a Cloud SQL database, or trigger a Cloud Function based on who is available or busy.

Absolutely. You can have your agent fetch a huge amount of data with tools like `list_calls` and feed it all into the model at once. This lets the agent find insights across your entire call history.

The connection between your agent and the Aircall tools is managed by Vinkius. Your requests for phone number configurations or team lists are processed in a sandboxed environment that doesn't persist any data after the request is complete.

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