How to Use the Bureau24 MCP in Google ADK

Q: How do I initialize the Bureau24 MCP Server in Google ADK?

Instantiate McpToolset with your Vinkius HTTP URL for Bureau24 in your Google ADK code. Pass this toolset directly to your Google ADK LlmAgent to let Gemini auto-discover the calling and messaging tools.

Q: How do I restrict Google ADK from modifying my Bureau24 status?

Use the optional toolnames filter when initializing your Google ADK toolset to exclude updatesecretarystatus from the Bureau24 tools. This guarantees your Google ADK agent can only read Bureau24 call data and never change your active availability.

Q: Can I combine Bureau24 call data with Vertex AI search in Google ADK?

Yes, you can feed the output of Bureau24 tools like getcall and listmessages into Google ADK search pipelines. This lets your Google ADK agent answer natural language questions about Bureau24 customer calls.

Connect Gemini models to Bureau24 using the Google ADK and this MCP Server to analyze hours of virtual receptionist call logs.

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Connect Bureau24 MCP to Google ADK

Create your Vinkius account to connect Bureau24 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 Bureau24 with Google ADK

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Analyze receptionist messages with Google ADK

The Bureau24 MCP Server exposes your live phone communication data directly to Google ADK pipelines. Use `list_messages` and `get_message` to feed weeks of Bureau24 receptionist transcripts into your Google ADK agent for deep analysis. Gemini's massive context window in the Google ADK is perfect for scanning long histories of Bureau24 virtual secretary interactions. Your Google ADK agent can quickly extract action items, classify call intents, and summarize what your Bureau24 callers need.

Sync Bureau24 contacts with BigQuery

The `list_contacts` tool pulls your Bureau24 address book so your Google ADK agent can immediately export it to BigQuery tables. Keep your enterprise data warehouse updated with real-time Bureau24 caller information using Google ADK pipelines. If your BigQuery database finds a missing customer record, the Google ADK agent can invoke `create_contact` to push the corrected data back to Bureau24. This keeps your Bureau24 virtual receptionist aligned with your central Google Cloud records.

Context-aware routing based on current status

The `get_secretary_status` tool monitors your real-time Bureau24 availability so your Google ADK agent knows if you are free for an urgent call transfer. When your schedule shifts, the Google ADK agent triggers `update_secretary_status` to instruct your Bureau24 virtual secretary. It also pulls Bureau24 handling rules via `list_instructions` to ensure the Google ADK agent knows exactly how to route VIP clients. No manual updates are needed once your Google ADK calendar integration with Bureau24 is live.

Setup guide

Set up Bureau24 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 Bureau24 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="Bureau24_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bureau24 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 Bureau24. 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 Bureau24 MCP in Google ADK

Instantiate `McpToolset` with your Vinkius HTTP URL for Bureau24 in your Google ADK code. Pass this toolset directly to your Google ADK `LlmAgent` to let Gemini auto-discover the calling and messaging tools.

Yes, Gemini's million-token context window within the Google ADK makes it easy to process hundreds of Bureau24 calls returned by `list_calls`. The Google ADK feeds these Bureau24 transcripts directly into the model without hitting token limits.

Use the optional `tool_names` filter when initializing your Google ADK toolset to exclude `update_secretary_status` from the Bureau24 tools. This guarantees your Google ADK agent can only read Bureau24 call data and never change your active availability.

Yes, you can feed the output of Bureau24 tools like `get_call` and `list_messages` into Google ADK search pipelines. This lets your Google ADK agent answer natural language questions about Bureau24 customer calls.

Your Bureau24 address book contacts and call details remain strictly within your Google Cloud boundary and the Vinkius MCP sandbox. No Bureau24 call logs are cached or used for Google ADK model training.

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