How to Use the eCompliance MCP in Google ADK

Q: How do I register the eCompliance MCP Server in my Google ADK agent?

Use McpToolset with the server parameters pointing to your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent constructor to expose all safety endpoints to Gemini to start using the MCP tools.

Q: Can Google ADK filter which eCompliance tools are exposed to Gemini?

Yes, you can use the optional toolnames filter in the toolset configuration. This lets you restrict your agent to specific tools like listcorrectiveactions while hiding administrative endpoints.

Q: How does Google ADK handle long-context reasoning with eCompliance data?

Your agent can call getinspectiondetails on multiple historical audits and feed the complete JSON payloads into Gemini. The model analyzes thousands of pages of inspection text to find systemic compliance issues.

Q: Can I join eCompliance incident reports with BigQuery tables?

Yes, your agent can run listsafetyincidents to pull live field data and compare it against historical safety tables stored in BigQuery. This makes it easy to build real-time compliance dashboards.

Connect Gemini enterprise agents to your safety records using the Google ADK and eCompliance.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect eCompliance MCP to Google ADK

Create your Vinkius account to connect eCompliance 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 eCompliance with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze long-context safety logs with Google ADK

The `search_safety_incidents` tool feeds historical safety narratives directly into Gemini's million-token context window. This lets your Google ADK agent cross-reference years of incident descriptions against current field reports to spot hidden risk patterns. You can combine this search capability with BigQuery datasets to run predictive risk modeling. Your agent checks the live eCompliance API, merges it with historical cloud data, and flags recurring hazards.

Run enterprise safety audits via eCompliance MCP Server

The `quick_safety_health_audit` tool delivers a high-level operational summary to your enterprise Google ADK agent. The agent processes this summary alongside your Vertex AI pipelines to generate compliance reports for executive stakeholders. Using the MCP Server transport layer, your agent securely connects Google Cloud infrastructure to your active field data. It pulls current inspection counts without requiring custom API wrappers.

Manage site staff and open inspections

The `list_safety_inspections` tool gives your Gemini agent access to all active audits performed at a specific location. The agent can verify outstanding items and match them against the workforce directory retrieved by `list_site_employees`. This direct access allows your agent to coordinate follow-up schedules. It identifies which inspector logged a safety gap and checks if they are currently assigned to the site.

Setup guide

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

Use `McpToolset` with the server parameters pointing to your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` constructor to expose all safety endpoints to Gemini to start using the MCP tools.

Yes, you can use the optional `tool_names` filter in the toolset configuration. This lets you restrict your agent to specific tools like `list_corrective_actions` while hiding administrative endpoints.

Your agent can call `get_inspection_details` on multiple historical audits and feed the complete JSON payloads into Gemini. The model analyzes thousands of pages of inspection text to find systemic compliance issues.

Yes, your agent can run `list_safety_incidents` to pull live field data and compare it against historical safety tables stored in BigQuery. This makes it easy to build real-time compliance dashboards.

All employee lists, incident details, and corrective action items are protected via Vinkius's secure token management. Your credentials reside in an isolated, ephemeral runtime environment, ensuring no compliance data leaks into public training sets.

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