How to Use the Placetel MCP in Google ADK

Q: How to configure Placetel with Google ADK?

Use the McpToolset class and provide the HTTP URL for your server. Once defined, pass the toolset to your LlmAgent instance to start executing calls.

Connect your Placetel communication data to Google ADK for enterprise-grade reasoning.

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Connect Placetel MCP to Google ADK

Create your Vinkius account to connect Placetel to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Placetel with Google ADK

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Direct access to Placetel user data

The `list_users` tool exposes your entire directory to the agent for instant lookup. It fetches precise details when the agent needs to verify identity or scope for a specific task. Using `get_user` allows the agent to pull specific account attributes into its reasoning window. You keep your data flow clean by fetching only what the model needs to process a request.

Unified call record analysis

Your agent uses `list_calls` to monitor current activity across your entire organization. It maps these events to the data you already store in your cloud infrastructure. By executing `list_call_detail_records`, the agent generates reports based on actual traffic. It turns raw logs into actionable insights without needing external middleware to format the output.

Resource and SIP device management

The agent tracks your hardware status by invoking `list_devices` and `list_sip_users`. It identifies discrepancies between your provisioning sheets and live hardware connectivity. `list_numbers` provides a complete map of your telephony assets for the agent to review. It ensures your agent always works with an accurate inventory of available lines.

Setup guide

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

Use the `McpToolset` class and provide the HTTP URL for your server. Once defined, pass the toolset to your `LlmAgent` instance to start executing calls.

You can apply a tool name filter during initialization. This restricts which tools the agent can call, limiting the surface area to only what you need for your specific task.

The agent can poll the API as often as your rate limits permit. Since the MCP Server uses HTTP transport, it stays responsive for high-frequency data retrieval.

Vinkius hosts the server in a zero-trust sandbox. You provide the endpoint token, and the agent interacts with the tools through an isolated, secure connection.

The server only touches your account identifiers and call metadata. These records are transmitted through a short-lived tunnel and are not stored by the infrastructure provider.

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