How to Use the Freshcaller MCP in Google ADK

Q: Can Google ADK agents access Freshcaller call history?

Yes, absolutely. Your agent can use the listcalls tool to pull recent call logs. The Google ADK can then process this information or load it into BigQuery for deeper analysis, all automated through this MCP server.

Q: How to integrate Freshcaller agent data with Google ADK?

Use the McpToolset with your Vinkius server URL. Your agent gains tools like listagents and getagentdetails. This lets your Gemini agent query agent availability and team structure directly from Freshcaller.

Q: Is it possible to search for new phone numbers in Freshcaller using a Google ADK agent?

Yes. The listbuyablenumbers tool lets your agent search for available phone numbers based on country or other criteria. This is useful for building agents that automatically provision new lines for marketing campaigns or new office locations.

Q: What's the best way to get started with this MCP server?

Install google-adk and create an McpToolset instance, pointing it to your unique Vinkius server URL. Pass that toolset to your LlmAgent and you're done. The agent discovers the Freshcaller tools automatically.

Plug your Freshcaller MCP server into Google ADK. Let Gemini agents act on call center data inside your Google Cloud environment.

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Connect Freshcaller MCP to Google ADK

Create your Vinkius account to connect Freshcaller 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 Freshcaller with Google ADK

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Connect Call Metrics to BigQuery

This is how you get Freshcaller data into your GCP ecosystem. Your Gemini agent can periodically call `list_account_metrics` and `list_calls`, then pipe that data directly into a BigQuery table for long-term analysis. Forget manual CSV exports. Your agent can run this on a schedule, giving your data science team a near real-time feed of call center activity. It's the missing link between your support operations and your central data warehouse.

Optimize Your Workforce

Give your Gemini agent the context to make smarter decisions about your team. It can get a complete staff overview with `list_agents` and check who belongs to which group with `list_agent_teams`. With Gemini's large context window, the agent can hold the status of your entire support floor in its memory. It can use `get_agent_details` to check individual skills or status, then decide on the best person for an incoming task. This MCP connection makes that possible.

Manage Data Exports with Google ADK

Automate your bulk data archival. Your agent can trigger large-scale exports from Freshcaller and then monitor their progress. It starts with `list_export_jobs` to see what's running or completed. Then, your agent can periodically check a job's progress using `get_export_status`. Once an export is ready, the agent can pull the data and move it to a permanent home, like a Google Cloud Storage bucket, for compliance or long-term storage.

Setup guide

Set up Freshcaller 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 Freshcaller 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="Freshcaller_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Freshcaller 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 Freshcaller. 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 Freshcaller MCP in Google ADK

Yes, absolutely. Your agent can use the `list_calls` tool to pull recent call logs. The Google ADK can then process this information or load it into BigQuery for deeper analysis, all automated through this MCP server.

Use the `McpToolset` with your Vinkius server URL. Your agent gains tools like `list_agents` and `get_agent_details`. This lets your Gemini agent query agent availability and team structure directly from Freshcaller.

Yes. The `list_buyable_numbers` tool lets your agent search for available phone numbers based on country or other criteria. This is useful for building agents that automatically provision new lines for marketing campaigns or new office locations.

Install `google-adk` and create an `McpToolset` instance, pointing it to your unique Vinkius server URL. Pass that toolset to your `LlmAgent` and you're done. The agent discovers the Freshcaller tools automatically.

Vinkius isolates every connection in a dedicated sandbox, so your Freshcaller data is never persisted on our end. The server handles authentication and proxies requests, meaning sensitive info like call metrics and agent team data only passes through, secured by HTTPS, directly to your agent running in your GCP environment.

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