How to Use the Assembled MCP in Google ADK

Q: Can I limit which Assembled tools my Google ADK agent sees?

Yes. Use the toolnames filter when setting up the McpToolset. This prevents the agent from accessing endpoints it does not need.

Q: How do I test the connection to Assembled?

Execute getaccountcheck through your agent. A successful response confirms the MCP Server is authenticating correctly with your workspace.

Q: Does this work with Gemini's long context window?

Yes. You can fetch massive payloads from listschedules without worrying about token limits. The model processes the entire schedule in one prompt.

Pull Assembled workforce schedules into Google ADK to cross-reference support capacity with your enterprise data.

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Connect Assembled MCP to Google ADK

Create your Vinkius account to connect Assembled 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 Assembled with Google ADK

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Perplexity

Feed schedules into long-context models

Enterprise support teams generate massive amounts of scheduling data. Gemini models handle 1M+ tokens easily, so your agent can pull an entire month of shifts using `list_schedules`. It processes the whole block at once. Pairing this with `list_users` lets the agent map specific reps to historical performance data in BigQuery. You get a complete picture of who is working and how they handle complex tickets. That makes automated shift planning actually viable.

Analyze forecasts with this MCP Server

Predicting ticket volume requires pulling from multiple sources. Your Google ADK agent fetches the baseline expectations via `list_forecasts`. Then it checks `list_queues` to see if the current reality matches the prediction. Native integration with Google Cloud means you can pipe these queue metrics directly into Vertex AI for deeper analysis. The MCP protocol handles the extraction. You focus on building the logic.

Track agent states in real time

Knowing who is active right now stops tickets from sitting in empty queues. Triggering `list_agent_states` returns the immediate status of your floor. It tells your agent exactly who is available for a live transfer. Connecting this to `list_teams` routes the transfer to the right department. You configure the connection using McpToolset with HTTP transports. The framework maps the endpoints automatically.

Setup guide

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

Initialize an McpToolset with StreamableHttpServerParameters. Pass the resulting toolset to your LlmAgent constructor. The tools become available immediately.

Yes. Use the tool_names filter when setting up the McpToolset. This prevents the agent from accessing endpoints it does not need.

Execute `get_account_check` through your agent. A successful response confirms the MCP Server is authenticating correctly with your workspace.

Yes. You can fetch massive payloads from `list_schedules` without worrying about token limits. The model processes the entire schedule in one prompt.

We treat your contact volume forecasts as highly sensitive. Vinkius runs the request in a zero-trust, ephemeral sandbox that vanishes the millisecond the data transfers to your Google Cloud environment. Nothing is logged to disk.

Use it with your favorite AI tools

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