How to Use the Applied Epic MCP in Google ADK

Q: Can I restrict which Applied Epic tools my Google ADK agent sees?

You define exact permissions using the toolnames filter. If an agent only needs to read data, just expose getpolicy and block write access entirely.

Feed Applied Epic data directly into Google ADK. Gemini's massive context window can ingest thousands of policies and activities at once.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Applied Epic MCP to Google ADK

Create your Vinkius account to connect Applied Epic 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 Applied Epic with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze Policy Books via MCP Server

Gemini handles a million tokens without breaking a sweat. You can use the `list_policies` tool to dump massive chunks of your Applied Epic database right into the agent's memory. It reads the whole book of business in one pass. Cross-referencing against Google Cloud data reveals the actual risks. Your agent pulls models from BigQuery and compares them against specific coverage details retrieved via `list_lines`. You spot underinsured clients instantly.

Manage Client Files with Google ADK

Enterprise operations require serious infrastructure. Passing the Applied Epic MCP Server to your LlmAgent lets it pull exact customer details using `get_client`. The agent then verifies account status by executing `get_account_check`. Document verification happens in seconds. The agent runs `list_attachments` to find policy declarations or claim photos. It can then summarize those files using Vertex AI vision models to verify compliance.

Coordinate Agency Tasks via MCP

Keeping track of broker tasks is a massive headache. Your Google ADK setup can run `list_activities` to pull every logged call, email, and meeting into context. The agent organizes the chaos into a clean daily briefing. Automation closes the loop. When Gemini detects a missing follow-up in the BigQuery logs, it triggers `create_activity` to assign a task in the ERP. Nothing slips through the cracks.

Setup guide

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

Install google-adk and set up a McpToolset using StreamableHttpServerParameters. Pass the toolset directly to your LlmAgent via the tools argument.

You define exact permissions using the tool_names filter. If an agent only needs to read data, just expose get_policy and block write access entirely.

Vinkius manages the HTTP transport while Gemini ingests the output. You can pull thousands of records using list_clients because the framework is built for massive context windows.

Your agents run inside your Google Cloud environment. They pull ERP records via the Vinkius endpoint and feed that context directly into your custom Vertex models.

We process your attachments, policy limits, and client rosters inside a zero-trust V8 sandbox. Vinkius destroys the environment the second your query finishes. Your sensitive insurance records never touch a permanent disk.

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