How to Use the European Pension Estimator MCP in Google ADK

Q: Can I limit which tools the European Pension Estimator exposes within Google ADK?

Yes, you can use the optional toolnames filter when setting up the toolset. This restricts your agent to specific calculation tools, keeping its focus tight and reducing token costs.

Connect the European Pension Estimator to Google ADK to run deep cross-border retirement projections on your BigQuery data.

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Connect European Pension Estimator MCP to Google ADK

Create your Vinkius account to connect European Pension Estimator to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup European Pension Estimator with Google ADK

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Query European pension rules directly from BigQuery

The `get_scheme_details` tool pulls regulatory parameters for public pensions in Germany, France, Spain, and the UK. Your enterprise agents can match these rules against raw employment records sitting in your cloud database. This setup lets your agent parse complex vesting schedules and retirement ages automatically. It eliminates manual policy lookups when auditing multi-national employee benefits.

Analyze retirement gaps inside your Google ADK pipelines

The `assess_contribution_gap` tool calculates the exact financial impact of working extra years in European systems. Bottom line: the math doesn't lie when you're looking at the tipping point where additional service yields the highest return. By feeding these results into long-context reasoning models, your agent can draft highly personalized retirement memos. The math is grounded in actual statutory formulas instead of generic advice.

Project monthly payouts at scale

The `calculate_monthly_benefit` tool estimates monthly retirement payouts and replacement rates based on historical earnings. It handles the specific formula quirks of each supported country. You can run these calculations for thousands of users simultaneously. This MCP processes the raw variables and returns clean numbers that integrate directly into your enterprise reporting pipelines.

Setup guide

Set up European Pension Estimator 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 European Pension Estimator 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="European Pension Estimator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to European Pension Estimator 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 European Pension Estimator. 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 European Pension Estimator MCP in Google ADK

Install the package with pip install google-adk. Then, initialize the connection using McpToolset with streamable HTTP parameters and pass it to your LlmAgent.

Yes, you can use the optional tool_names filter when setting up the toolset. This restricts your agent to specific calculation tools, keeping its focus tight and reducing token costs.

Your agent pulls the historical work records from BigQuery and passes them directly to this MCP. The tool acts as an external calculation engine, returning precise pension estimates back to your cloud pipeline.

It supports both Stdio and HTTP transports. For cloud-hosted enterprise agents running on Vertex AI, the streamable HTTP transport is the standard choice for reliable execution.

Yes, this MCP functions as a stateless utility. It processes the salary and service variables sent by Google ADK in memory, never caching or writing sensitive pension data to persistent storage.

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