How to Use the Travis CI MCP in Google ADK

Q: How does Google ADK monitor build health across multiple projects with Travis CI?

Your agent starts by calling listtravisrepositories to map all available sources. From there, it uses listrepositorybranches to check the latest status of every branch for comprehensive coverage.

Q: If a core service fails, can Google ADK trigger an immediate recovery build?

Yes. The agent runs triggernewbuild, passing the necessary repo slug and branch name to initiate the fix. This is critical for maintaining uptime when dealing with live data sources.

Q: How do I ensure that a previous build result can be examined using Google ADK?

You first need the ID, then you use getbuilddetails. You won't miss any context. The agent gets full details for whatever specific run you point it toward.

Q: Can Google ADK cancel an ongoing build run using Travis CI?

Sure. Use canceltravisbuild. This stops the execution right away, which is useful if a build gets stuck or runs into an unexpected infinite loop.

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Create your Vinkius account to connect Travis CI 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 Travis CI with Google ADK

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Checking all repository status

Need a high-level overview? Call `list_travis_repositories` to pull every configured project slug. You can then get specific details for any of those projects using `get_repository_details`. This lets your agent build a full inventory of all codebases needing oversight, something vital when integrating with BigQuery data.

Managing and restarting builds

To get the job started or rerun a failed test, use `trigger_new_build`. If you know which build went sideways, you can use `restart_travis_build` with the specific ID. It's straightforward. These tools ensure your agent doesn't just notice failures; it actively corrects them.

Deep dive into job logs

Getting a general status isn't enough. Use `list_build_jobs` to list every individual job inside a specific build execution. You can pair this with `get_build_details` for maximum context. It gives your agent the granular level of detail required when debugging complex, multi-stage workflows.

Setup guide

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

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Common questions about Travis CI MCP in Google ADK

Your agent starts by calling `list_travis_repositories` to map all available sources. From there, it uses `list_repository_branches` to check the latest status of every branch for comprehensive coverage.

Yes. The agent runs `trigger_new_build`, passing the necessary repo slug and branch name to initiate the fix. This is critical for maintaining uptime when dealing with live data sources.

You first need the ID, then you use `get_build_details`. You won't miss any context. The agent gets full details for whatever specific run you point it toward.

The server touches 'build status information.' Since your agents are running on Google Cloud, the action is logged and attributed to the authenticated user profile via `get_user_profile`.

Sure. Use `cancel_travis_build`. This stops the execution right away, which is useful if a build gets stuck or runs into an unexpected infinite loop.

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