How to Use the MPU-Manager MCP in Google ADK

Q: How do I initialize the MPU-Manager toolset in my Google ADK agent?

Install the package, define your StreamableHttpServerParameters, and load the McpToolset. Pass that toolset to your LlmAgent to expose all ten production tools instantly.

Q: Can I limit which tools the Google ADK agent can access?

Yes, you can use the toolnames filter when initializing your toolset. This lets you restrict access to sensitive tools like createcase while keeping read-only tools open.

Q: Does the MPU-Manager MCP Server support Gemini's long context inside Google ADK?

Yes. You can feed the output of listreports directly into Gemini's 1M+ token window to analyze months of production history in one go.

Q: How do I verify that the API is reachable?

Your agent can run checkmpumanagerstatus at startup. This confirms the connection to the broadcast database is active before processing any user requests.

Coordinate live broadcast scheduling inside your Google ADK agent with this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MPU-Manager MCP to Google ADK

Create your Vinkius account to connect MPU-Manager 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.

GDPR Free for Subscribers

Setup MPU-Manager with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Google ADK MCP Server Integration for Scheduling

`create_appointment` executes scheduling commands directly within your Gemini agent workflows. By passing the toolset to your LlmAgent, your team can coordinate shoot times using real-time data from BigQuery. The agent can query `list_appointments` to audit current crew availability across multiple studios. This keeps your scheduling data synchronized with your enterprise databases without manual copy-pasting.

Analyze Live Production Cases with Long-Context Models

`list_cases` pulls all active production issues into Gemini's long-context window. Your agent can read hundreds of historical cases at once, identifying patterns that shorter-context models miss. When a new issue arises, `create_case` logs it instantly. The agent then references `get_case` to compare the current incident against your entire archive of broadcast reports.

Direct Access to Client and Partner Records

`list_clients` gives your Gemini agent direct access to client profiles during live events. This allows the agent to pull sponsor guidelines or contact info on the fly. By using `get_client`, the agent retrieves specific details for a single account. This MCP connection ensures your live crew always has accurate sponsor requirements.

Setup guide

Set up MPU-Manager 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 MPU-Manager 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="MPU-Manager_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MPU-Manager tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MPU-Manager. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MPU-Manager now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MPU-Manager MCP in Google ADK

Install the package, define your `StreamableHttpServerParameters`, and load the `McpToolset`. Pass that toolset to your `LlmAgent` to expose all ten production tools instantly.

Yes, you can use the `tool_names` filter when initializing your toolset. This lets you restrict access to sensitive tools like `create_case` while keeping read-only tools open.

Yes. You can feed the output of `list_reports` directly into Gemini's 1M+ token window to analyze months of production history in one go.

Your agent can run `check_mpumanager_status` at startup. This confirms the connection to the broadcast database is active before processing any user requests.

Yes, it is. Your case logs and crew schedules are processed in an ephemeral sandbox. Vinkius secures your credentials and handles the transport layer so your internal production data never leaks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript