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 OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Codecov
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Codecov through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Codecov Assistant",
            instructions=(
                "You help users interact with Codecov. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Codecov"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

The OpenAI Agents SDK auto-discovers all 8 tools from Codecov through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Codecov, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Codecov MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Codecov

Why Use OpenAI Agents SDK with the Codecov MCP Server

OpenAI Agents SDK provides unique advantages when paired with Codecov through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Codecov + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Codecov MCP Server delivers measurable value.

Automated workflows: build agents that query Codecov, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Codecov, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Codecov tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Codecov to resolve tickets, look up records, and update statuses without human intervention

Codecov MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Codecov to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Codecov to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Codecov + OpenAI Agents SDK FAQ

Common questions about integrating Codecov MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.