Can I see the coverage percentage for a specific commit?

Yes! Use the `get_commit_coverage_totals` tool with the commit SHA. The agent will return the aggregate coverage percentage, hits, misses, and other metrics for that specific version of the code.

How do I check the coverage distribution across my project's folders?

Use the `get_coverage_report_tree` tool. Your agent will fetch a hierarchical view of the report, showing you exactly which directories have high coverage and which need more tests.

Where do I find my Codecov API Token?

Log in to your Codecov account, go to **Settings**, and select **Access**. You can generate and copy a new API token from the 'Tokens' section.

Codecov MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Codecov
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Codecov as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="codecov_agent",
    instruction=(
        "You help users interact with Codecov "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Codecov MCP Server

Connect your Codecov account to any AI agent and take full control of your test coverage and engineering insights through natural conversation. Streamline how you monitor software quality across your repositories natively.

Google ADK natively supports Codecov as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Repository Oversight — List and retrieve details for all repositories including their current coverage percentage natively
Commit Intelligence — Access aggregate coverage totals for specific commit SHAs to verify build health flawlessly
Report Hierarchy — Retrieve a hierarchical view of coverage reports matching your project's file structure flawlessly
Branch & Flag Logistics — Monitor coverage across different branches and custom flags to understand distribution securely
Developer Insights — Access your own user profile and core account metadata directly within your workspace flawlessly
integrated Visibility — Retrieve detailed repository metadata including service provider and owner information flawlessly

The Codecov MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Codecov to Google ADK via MCP

Follow these steps to integrate the Codecov MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Codecov via MCP

Why Use Google ADK with the Codecov MCP Server

Google ADK provides unique advantages when paired with Codecov through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Codecov

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Codecov tools with BigQuery, Vertex AI, and Cloud Functions

Codecov + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Codecov MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Codecov and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Codecov tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Codecov regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Codecov

Codecov MCP Tools for Google ADK (8)

These 8 tools become available when you connect Codecov to Google ADK via MCP:

get_commit_coverage_totals

Retrieve aggregate coverage totals for a specific commit SHA

get_coverage_report_tree

Retrieve a hierarchical view of the coverage report matching the file structure

get_my_codecov_profile

Retrieve information about the authenticated user

get_repository_coverage_details

Get detailed coverage information for a specific repository

list_codecov_repositories

List all repositories associated with an owner

list_coverage_flags

List all coverage flags defined for a repository

list_repository_branches

List all branches tracked in Codecov

list_repository_commits

List recent commits and their coverage status

Example Prompts for Codecov in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Codecov immediately.

"List all repositories for the organization 'vinkius' on GitHub."

"What is the coverage for the latest commit in 'core-api'?"

"Show me the coverage report tree for 'web-frontend'."

Troubleshooting Codecov MCP Server with Google ADK

Common issues when connecting Codecov to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Codecov + Google ADK FAQ

Common questions about integrating Codecov MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.