How to Use the Bright Pattern MCP in Google ADK

Q: Can I limit Google ADK to only run specific Bright Pattern tools?

Yes, you can use the toolnames filter in the McpToolset configuration. This lets you expose only read tools like listservices while hiding administrative MCP tools like gettenantconfig.

Feed real-time Bright Pattern metrics directly into your Google ADK pipelines.

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Connect Bright Pattern MCP to Google ADK

Create your Vinkius account to connect Bright Pattern 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 Bright Pattern with Google ADK

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Analyze contact center stats with Google ADK

Feed your Gemini models with live operational data. By connecting this MCP Server, your Google ADK agent calls `get_realtime_stats` and `list_services` to monitor active call queues and service levels. You can write the output of these tools directly to BigQuery. This lets you combine live contact center metrics with historical customer data to find patterns in agent performance.

Reconstruct customer journeys in long-context windows

Gemini's million-token context window is perfect for digesting long interaction histories. The agent calls `list_interactions` and `get_interaction_details` to pull days of chat transcripts and call notes into a single prompt. This gives your Google ADK agent the complete picture. It can spot recurring customer complaints across dozens of touchpoints without losing context or hallucinating details.

Audit agent skills and team assignments

Keep your directory clean. Your agent inspects team setups and routing rules by executing `list_teams`, `list_skills`, and `get_tenant_config` directly from your Python script. If a routing rule looks broken, the agent flags it. It uses `get_user` to verify that the right support agents are assigned to the correct high-priority queues.

Setup guide

Set up Bright Pattern 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 Bright Pattern 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="Bright Pattern_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bright Pattern tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Bright Pattern MCP in Google ADK

Install google-adk via pip. Initialize McpToolset with your Vinkius streamable HTTP URL, then pass that toolset directly into your LlmAgent constructor.

Yes, you can use the tool_names filter in the McpToolset configuration. This lets you expose only read tools like `list_services` while hiding administrative MCP tools like `get_tenant_config`.

Gemini models excel at handling massive text payloads. When you run `list_interactions` to retrieve hundreds of recent chat records, the SDK passes the raw text directly into the model's context window without needing pre-summarization.

This MCP Server runs on Vinkius via HTTP, which Google ADK connects to using the StreamableHttpServerParameters class. This setup keeps your local environment lightweight since you do not need to run the server locally.

Your tenant details and active campaign configurations are transmitted via HTTPS directly to your agent. Vinkius executes the MCP connector in an isolated sandbox, ensuring your user directories and system settings are never logged or stored.

Use it with your favorite AI tools

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