How to Use the Coveralls (Code Coverage Analytics API) MCP in AutoGen

Q: What kind of quality checks can I build with Coveralls (Code Coverage Analytics API) and AutoGen?

You can create a 'QualityAgent' that uses getbuildwebdata to check coverage percentage. If it's below a threshold, the agent can argue against the build in the group chat, forcing a consensus on whether to proceed.

Q: Is my source code safe when using Coveralls (Code Coverage Analytics API) with an AutoGen agent?

Yes. When your agent uses a tool that requires sourcefiles or tokens, the data is sent to a Vinkius zero-trust sandbox. Each API call is fully isolated and the environment is destroyed after execution, ensuring your code and credentials are not persisted.

Have your AutoGen agents debate code quality, validate coverage reports, and manage Coveralls CI builds as a team.

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Connect Coveralls (Code Coverage Analytics API) MCP to AutoGen

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Setup Coveralls (Code Coverage Analytics API) with AutoGen

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Create a Multi-Agent CI Team

Set up a conversation between specialized agents. A 'SubmitterAgent' can use the `submit_job` tool to push a new coverage report to Coveralls after a test run concludes. Once the submission is done, it notifies a 'ValidatorAgent' in the group chat. That agent then wakes up and uses `get_build_web_data` to check the results. The agents don't just execute a script; they coordinate and report their findings to each other.

Debate and Enforce Quality Gates

This is where AutoGen's conversational approach pays off. If the 'ValidatorAgent' finds that code coverage dropped, it can challenge the build directly in the chat, presenting data from `get_file_web_data` as evidence. Another agent, acting as a 'Manager', can then decide the next step based on the debate. It might instruct the team to trigger a `rerun_build` or page a human developer for review. This MCP server provides the facts for their discussion.

Manage Repos with an AutoGen Admin

Designate an agent to be your 'RepoAdmin'. Give it exclusive access to the `create_repo` and `update_repo` tools. This agent becomes responsible for all repository administration tasks. Now, you can instruct your agent group to "set up a new project for the billing service." The 'RepoAdmin' calls the necessary MCP tools, and other agents in the conversation can use `get_repo` to confirm the task was completed correctly. It’s a self-auditing system.

Setup guide

Set up Coveralls (Code Coverage Analytics API) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Coveralls (Code Coverage Analytics API) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Coveralls (Code Coverage Analytics API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Coveralls (Code Coverage Analytics API) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Coveralls (Code Coverage Analytics API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Coveralls (Code Coverage Analytics API) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Coveralls. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Coveralls (Code Coverage Analytics API) MCP in AutoGen

You can assign different tools to different agents. For example, a 'CI-Agent' gets the `submit_job` tool, while a 'QA-Agent' gets the `get_build_web_data` tool, and they collaborate in a chat to process a build.

Yes, that's a perfect use case for AutoGen. One agent calls `submit_job`, then tells a second agent to call `get_build_web_data` to verify the outcome. They can discuss the result and decide what to do next.

You can create a 'QualityAgent' that uses `get_build_web_data` to check coverage percentage. If it's below a threshold, the agent can argue against the build in the group chat, forcing a consensus on whether to proceed.

The MCP tool adapter for AutoGen securely passes your Vinkius endpoint token with each request. You don't need to manage the Coveralls tokens in your agent code; the Vinkius platform handles the secure connection.

Yes. When your agent uses a tool that requires `source_files` or tokens, the data is sent to a Vinkius zero-trust sandbox. Each API call is fully isolated and the environment is destroyed after execution, ensuring your code and credentials are not persisted.

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