How to Use the Assertible MCP in Google ADK

Q: How does Google ADK run my Assertible test suites?

The toolset exposes runservicetests directly to your Gemini model. The model triggers the suite and processes the execution results.

Q: Can Google ADK update my Assertible API specifications?

Yes. Use syncspecification to upload your updated Swagger or OpenAPI specifications from your Google Cloud environment.

Q: How do I check individual test statuses in Google ADK?

Call getteststatusbadge to fetch the markdown badge for any specific assertion. Your agent displays this in your monitoring console.

Connect Assertible to your Google ADK pipelines to run API assertions directly from Gemini.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Assertible MCP to Google ADK

Create your Vinkius account to connect Assertible 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 Assertible with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Execute Targeted API Tests

`run_specific_test` executes a single Assertible test target to verify critical pathways inside your Google ADK pipeline. This keeps your feedback loop fast and saves execution limits. Gemini analyzes the Assertible test results to identify regressions. If something breaks, the Google ADK agent extracts the exact failure from the response payload.

Track Health with Google ADK and Assertible

`get_service_status_badge` retrieves the SVG status badge markdown for your Assertible services directly into Google ADK. Your agent reads this data to check if a service is operational before routing traffic. This MCP Server exposes real-time status data to your Gemini models. You append these Assertible badges to your Google Cloud logs automatically.

Validate JSON Payloads Locally

`validate_json` verifies JSON documents against Draft 4 schemas within your Google ADK environment. This MCP tool runs locally to ensure data structures are correct before writing to BigQuery. The Google ADK agent isolates bad Assertible payloads early in your pipeline. This blocks malformed data from polluting your BigQuery tables.

Setup guide

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

The toolset exposes `run_service_tests` directly to your Gemini model. The model triggers the suite and processes the execution results.

Yes. Use `sync_specification` to upload your updated Swagger or OpenAPI specifications from your Google Cloud environment.

Call `get_test_status_badge` to fetch the markdown badge for any specific assertion. Your agent displays this in your monitoring console.

Yes. You configure the MCP connection using standard HTTP or Stdio depending on your hosting setup.

The MCP Server handles JSON schema validation locally in an isolated Vinkius sandbox. Your OpenAPI specifications are transmitted directly to Assertible using TLS.

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