How to Use the Codecov MCP in Google ADK

Q: How does Google ADK interact with Codecov tools?

Include the server in your McpToolset configuration. The framework then exposes these tools as native functions for your agent.

Q: Can Google ADK agents filter Codecov results?

Use the toolnames filter in your configuration to restrict exposure. This ensures your agent only interacts with the specific coverage tools you want.

Connect Google ADK to your Codecov reports for enterprise-grade engineering visibility.

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Connect Codecov MCP to Google ADK

Create your Vinkius account to connect Codecov 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 Codecov with Google ADK

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Analyze test depth within Google ADK

Use `get_coverage_report_tree` to fetch the hierarchy of your test results. Your Gemini agent parses this to find gaps in your logic. It handles deep file structures efficiently. You'll get a clear picture of what needs more tests.

Audit repository branches using Google ADK

Call `list_repository_branches` to see what your team is pushing. Your agent compares these against your main branch coverage. This keeps your deployment pipeline clean. It flags regressions before they hit your production environment.

Manage Codecov profiles in Google ADK

Verify your identity or permissions with `get_my_codecov_profile`. Your agent uses this to ensure it has the right scope for API requests. It simplifies access control for your agents. You won't need to hardcode credentials for every session.

Setup guide

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

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Common questions about Codecov MCP in Google ADK

Include the server in your `McpToolset` configuration. The framework then exposes these tools as native functions for your agent.

Use the tool_names filter in your configuration to restrict exposure. This ensures your agent only interacts with the specific coverage tools you want.

Yes, the agent can ingest large reports into its context window. It reasons over your entire test tree at once.

The server provides raw data that flows directly into your pipeline. You can pipe these metrics into BigQuery for long-term tracking.

All traffic is handled via encrypted transport. The server only touches your coverage metadata and repository identifiers.

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