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Vinkius

Coveralls (Code Coverage Analytics API) Connector for AI agents.

10 live capabilities

Manage code coverage metrics and repository configurations for your CI/CD pipeline.

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Why people use Coveralls (Code Coverage Analytics API)

Coveralls Code Coverage Analytics for CI/CD Workflows

This Connector lets you stay in your flow. Just ask your agent to check a build status or submit a report. It pulls the data, handles the API calls, and gives you the answer in seconds.

  • Claude
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What Vinkius changes

You get full control over your code coverage metrics without leaving your workspace.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Verifying coverage on a specific file

    A developer wants to see if a specific file hit the coverage target.

  2. Real-world use case 02

    Automating bulk repository setup

    A DevOps engineer needs to set up 10 new repositories.

  3. Real-world use case 03

    Fixing failed builds due to network blips

    A build fails due to a transient error.

Complete set · 10capabilities

The complete Coveralls (Code Coverage Analytics API) capability set.

These are the exact actions your AI can choose when you ask it to work with Coveralls (Code Coverage Analytics API).

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Coveralls (Code Coverage Analytics API).

  1. 01 Capability

    Create repo

    Create a new repository on the Coveralls platform. This is useful for quickly spinning up new projects in your pipeline.

  2. 02 Capability

    Get build web data

    Get the JSON representation of a build web page. Use this to pull specific build metrics into your chat.

  3. 03 Capability

    Get file web data

    Get the JSON representation of a source file web page. It helps you see how specific files are performing.

  4. 04 Capability

    Get job web data

    Get the JSON representation of a job web page. This provides deep insights into individual coverage jobs.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Coveralls (Code Coverage Analytics API).

  1. 05 Capability

    Get repo

    Get repository info from your Coveralls account. Use it to verify active status and retrieve tokens.

  2. 06 Capability

    Get repo web data

    Get the JSON representation of a repo web page. This is great for summarizing high-level repository trends.

  3. 07 Capability

    Rerun build

    Trigger a rerun of a build on Coveralls. It's a fast way to fix transient failures without manual clicking.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Coveralls (Code Coverage Analytics API).

  1. 08 Capability

    Submit job

    Submit a coverage report to Coveralls. It includes source files and git metadata for accurate tracking.

  2. 09 Capability

    Update repo

    Update an existing repository on Coveralls. Use this to modify configurations on the fly.

  3. 10 Capability

    Close parallel build

    Close a parallel build on Coveralls. This helps manage complex CI workflows and aggregate data.

Set up in minutes

One URL. Then ask Coveralls (Code Coverage Analytics API) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Coveralls (Code Coverage Analytics API) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_4KFwfN2vWWEeowJibGZslVeROZZ50N2pFwaurAdx/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Coveralls (Code Coverage Analytics API), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Coveralls (Code Coverage Analytics API) for the conversation.

Where the request belongs

Work Coveralls can move forward.

Built around the request

This is for the DevOps engineer tired of manual dashboard updates, the developer who wants instant coverage feedback, and the QA lead monitoring regressions.

01

DevOps Engineer

Automates repo setup and monitors coverage trends across the whole organization.

02

Software Developer

Checks coverage status and submits reports directly from the IDE or terminal.

03

QA Lead

Analyzes coverage regressions and manages build thresholds to ensure reliability.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Codecov logo
01 8 capabilities

Codecov

Manage test coverage and engineering metrics via Codecov. track coverage reports, monitor commit totals, and audit code quality directly from any AI agent.

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Code Climate logo
02 8 capabilities

Code Climate

Manage code quality and engineering metrics via Code Climate. track repository grades, monitor snapshots, and audit test coverage directly from any AI agent.

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Codacy logo
03 8 capabilities

Codacy

Manage code quality and automated reviews via Codacy. track grades, monitor issues, and audit repository analysis directly from any AI agent.

View Connector
DeepSource logo
04 14 capabilities

DeepSource

Automate code quality monitoring via DeepSource. analyze issues, vulnerabilities, metrics, and report cards directly from any AI agent.

View Connector
Coverage Gate Evaluator logo
05 3 capabilities

Coverage Gate Evaluator

Enforce strict code coverage thresholds using deterministic integer math.

View Connector
SonarCloud logo
06 9 capabilities

SonarCloud

Merge your SaaS DevOps workflow with SonarCloud to review AI code and prevent production vulnerabilities.

View Connector

Bring your own AI

Change the model, client or framework. Keep Coveralls connected.

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Before you connect

Questions about Coveralls.

The practical details behind the request, access and result.

Can the Coveralls MCP help with my CI/CD pipeline?

Yes, it connects your agent to Coveralls to manage reports and monitor build statuses, making it easier to track code quality.

How do I use the Coveralls MCP for my private repos?

You'll need to provide your Coveralls Personal Access Token in the setup. This allows your agent to see and manage private repository data.

Can I use this to manage GitHub and GitLab repos?

Yes, it supports repository configurations for GitHub, GitLab, and Bitbucket, allowing you to manage all your projects in one place.

What happens when I use the Coveralls MCP to rerun a build?

The agent triggers a rerun of the build processing. This is great for resolving transient issues without you having to click through a dashboard.

Can the Coveralls MCP submit coverage reports?

Yes, it can submit detailed reports including source file data and git metadata directly to your Coveralls account.

How does the Coveralls MCP handle parallel builds?

It can trigger aggregate calculations and close parallel build sequences, which is helpful for managing complex CI workflows.

How do I retrieve my repository's secret token for CI configuration?

Use the get_repo capability by providing the service (e.g., 'github') and repository name. The agent will return the repository details, including the repo_token needed for your CI environment variables.

Can I submit a coverage report for a specific CI job manually?

Yes! The submit_job capability allows you to send coverage data directly. You'll need to provide the repo_token, service_name, service_job_id, and the source_files JSON array containing coverage metrics.

How do I finalize a parallel build once all individual jobs are finished?

Use the close_parallel_build capability. Provide your repo_token and the build_num. This triggers Coveralls to aggregate all parallel jobs and calculate the final coverage percentage for the build.

One connection away

Give your agent a direct line to Coveralls.

Connect Coveralls once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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