How to Use the MeisterTask MCP in Google ADK
Connect Gemini models to your MeisterTask boards using the Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MeisterTask MCP to Google ADK
Create your Vinkius account to connect MeisterTask 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.
Long-context task analysis via Google ADK
The `list_all_accessible_tasks` tool pulls your entire MeisterTask backlog into the Gemini model's 1M-token context window using the Google ADK. This allows the Gemini model to analyze months of MeisterTask project history in a single execution step. By feeding this MeisterTask data directly into Vertex AI, your Google ADK agent can identify patterns and bottlenecks across your boards. The managed MCP Server processes these large MeisterTask payloads inside the Vinkius sandbox to keep execution times low.
Database-driven task creation
The `create_new_task` tool inserts new items into your MeisterTask boards based on data fetched from your Google Cloud infrastructure. Your Google ADK agent queries BigQuery for system anomalies, then uses this tool to log them as actionable MeisterTask tickets. Using the Google ADK tools parameter, you pass the MCP Server endpoint directly to your LlmAgent. The agent executes the BigQuery query and the MeisterTask board update sequentially, keeping your engineering team informed of production issues.
Board structure mapping for enterprise planning
The `list_project_sections` tool retrieves the column layout of your MeisterTask boards to help your Google ADK agent map project phases. Your agent reads these sections to determine where to place newly synchronized tasks on your MeisterTask board. This mapping occurs entirely in the background using the secure Vinkius gateway to fetch MeisterTask data. You do not need to hardcode MeisterTask section IDs in your Google ADK script because the agent queries the live board structure dynamically.
Set up MeisterTask MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 MeisterTask tools in your ADK agent.
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="MeisterTask_agent",
model="gemini-2.0-flash",
instruction="You have access to MeisterTask tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MeisterTask. 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 MeisterTask MCP in Google ADK
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