How to Use the Anaplan MCP in Google ADK

Q: Can my Google ADK agent import files into Anaplan?

Yes, the agent triggers runimport after locating the target files. It uses listfiles to verify the import source is staged correctly before execution.

Q: What happens if an Anaplan process fails during execution in Google ADK?

The gettaskstatus tool returns the exact error details to your Google ADK agent. Your agent can then log the failure or attempt a rollback step based on your prompt instructions.

Control Anaplan workspaces and run complex data actions from your Google ADK enterprise agents with this MCP Server.

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Connect Anaplan MCP to Google ADK

Create your Vinkius account to connect Anaplan 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 Anaplan with Google ADK

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Execute enterprise data actions via Google ADK

The `run_import` tool pulls external data into your target models directly from your Google ADK agent. Gemini models can now feed fresh enterprise data into your planning models without manual file uploads. If you need to extract data, the agent calls `run_export` to generate output files. The agent then reads these files to update your BigQuery tables or Vertex AI pipelines.

Monitor long-running Anaplan processes

The `get_task_status` tool tracks active jobs to prevent your Google ADK pipelines from stalling. Your agent polls this endpoint to verify that a data sync completed before running downstream analysis. By combining this with `run_process`, your agent manages complex, multi-step calculation chains. You avoid silent failures because the agent reacts to error states returned by the Anaplan API.

Discover workspace structures with the MCP Server

The `list_workspaces` tool lists all accessible environments for your Google ADK agent. Your agent locates the correct department workspace without hardcoded configuration files. After finding the workspace, the agent runs `list_models` to map out the available planning structures. Dynamic mapping ensures your Gemini agent always targets the correct model.

Setup guide

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

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Common questions about Anaplan MCP in Google ADK

Yes, you can restrict access during initialization. Use the tool_names filter in your Google ADK setup to only expose safe tools like `list_files` or `get_task_status`.

Vinkius manages the authentication layer securely. Your Google ADK agent connects using a single endpoint token, removing the need to store raw Anaplan passwords in your Google Cloud environment.

Yes, the agent triggers `run_import` after locating the target files. It uses `list_files` to verify the import source is staged correctly before execution.

The `get_task_status` tool returns the exact error details to your Google ADK agent. Your agent can then log the failure or attempt a rollback step based on your prompt instructions.

All workspace and model metadata is processed within an ephemeral V8 sandbox. This prevents your proprietary planning schemas from leaking into public training sets or persisting outside your Google ADK session.

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