How to Use the Coveralls (Code Coverage Analytics API) MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK run a Coveralls (Code Coverage Analytics API) build rerun automatically?

Yes, your agent can trigger rerunbuild based on test failures. You can configure guardrails in the OpenAI SDK to ensure the agent only triggers reruns for specific branches. This prevents runaway API usage on broken draft pull requests.

Feed Coveralls code coverage metrics directly to OpenAI Agents SDK to stop untested builds before they hit production.

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Connect Coveralls (Code Coverage Analytics API) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Coveralls (Code Coverage Analytics API) to OpenAI Agents SDK 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 Coveralls (Code Coverage Analytics API) with OpenAI Agents SDK

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Block bad builds with OpenAI Agents SDK

Your agent uses `submit_job` to push coverage reports to Coveralls during the test run. If the test coverage drops, the agent flags it immediately. Instead of letting broken code slip by, the agent can trigger `close_parallel_build` to shut down the run. This stops bad code from merging without a human in the loop.

Track coverage trends with this MCP Server

This MCP Server exposes `get_repo_web_data` and `get_build_web_data` so your agent can inspect coverage history. The agent reads raw JSON data directly from Coveralls to compare current runs against your main branch. By using OpenAI's built-in guardrails, you can set strict rules. For example, block the agent from running `rerun_build` if the coverage drop exceeds five percent.

Safe repository management via OpenAI Agents SDK

The agent runs `create_repo` and `update_repo` to set up new codebases on Coveralls automatically. It handles all repo configurations using your personal API token stored safely in the Vinkius vault. OpenAI's tracing dashboard records every single repository modification the agent makes. You get a clear audit trail of who changed what, keeping your production settings secure.

Setup guide

Set up Coveralls (Code Coverage Analytics API) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Coveralls (Code Coverage Analytics API) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Coveralls (Code Coverage Analytics API) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Coveralls (Code Coverage Analytics API) tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Coveralls (Code Coverage Analytics API) Agent",
            instructions="You have access to Coveralls (Code Coverage Analytics API) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Coveralls (Code Coverage Analytics API) MCP in OpenAI Agents SDK

Install the sdk using pip, then initialize the MCP server with your Vinkius endpoint. Pass this server instance in the `mcp_servers` list when building your Agent. The agent automatically discovers all ten coverage tools.

Yes, your agent can trigger `rerun_build` based on test failures. You can configure guardrails in the OpenAI SDK to ensure the agent only triggers reruns for specific branches. This prevents runaway API usage on broken draft pull requests.

Your agent coordinates complex parallel runs by tracking individual job statuses with `get_job_web_data`. Once all parallel parts finish, the agent calls `close_parallel_build` to finalize the run. This keeps your CI pipeline clean and automated.

No, the Vinkius MCP Server handles all schema definitions out of the box. The OpenAI SDK auto-discovers the tools, including `get_file_web_data`, so your agent knows exactly what arguments to pass.

This server only handles coverage metadata, file paths, and git commit hashes. Vinkius runs the server in an ephemeral sandbox, and your Coveralls API tokens are never exposed to the LLM or stored in plain text.

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