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Travis CI MCP. Check status, trigger builds, kill jobs via chat.

Claude Claude
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Travis CI MCP on Cursor AI Code Editor MCP Client Travis CI MCP on Claude Desktop App MCP Integration Travis CI MCP on OpenAI Agents SDK MCP Compatible Travis CI MCP on Visual Studio Code MCP Extension Client Travis CI MCP on GitHub Copilot AI Agent MCP Integration Travis CI MCP on Google Gemini AI MCP Integration Travis CI MCP on Lovable AI Development MCP Client Travis CI MCP on Mistral AI Agents MCP Compatible Travis CI MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Travis CI MCP Server gives your AI client direct control over continuous integration and deployment pipelines. Use this to list repositories, check branch health, retrieve build logs, or manually trigger a fresh deploy—all without opening a browser tab.

It’s built for DevOps engineers who need immediate visibility into complex build matrices.

What your AI agents can do

Cancel travis build

Stops any currently running Travis CI build. This action cannot be undone.

Get build details

Retrieves a full summary of a specific, completed or failed Travis CI build run.

Get repository details

Gets the key ID or default branch status for any given Travis CI repository slug.

+ 7 more capabilities included
Get repository and branch status

List all configured repositories or retrieve the latest build state for every tracked Git branch.

Audit specific job logs

Retrieve full details and list individual jobs within a single, completed build execution.

Force new deployments

Manually start a fresh build for a repository on any specified branch, optionally adding a commit message.

Stop running builds

Immediately cancel an active or failing Travis CI build run to save resources and clear the queue.

Check user account info

Retrieve details about your authenticated Dev profile, including any assigned quotas or restrictions.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Travis CI MCP Server: 10 Tools for Build Ops

Use these tools to programmatically manage every step of your build lifecycle, from listing repos to triggering hotfixes.

cancel019d7614

cancel travis build

Stops any currently running Travis CI build. This action cannot be undone.

get019d7614

get build details

Retrieves a full summary of a specific, completed or failed Travis CI build run.

get019d7614

get repository details

Gets the key ID or default branch status for any given Travis CI repository slug.

get019d7614

get user profile

Pulls your authenticated user profile details from the connected Travis CI account.

list019d7614

list build jobs

Lists every individual job that ran within a single, specific build execution.

list019d7614

list repository branches

Provides an overview of all Git branches and their absolute latest build status on Travis CI.

list019d7614

list repository builds

Lists the most recent set of completed build executions for a specific repository slug.

list019d7614

list travis repositories

Outputs a list of every single repository that has been configured on your Travis CI account.

restart019d7614

restart travis build

Forces the re-run of a previously executed build using its specific ID.

trigger019d7614

trigger new build

Starts a brand new Travis CI build for any repository on a specified branch and message.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Travis CI, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Your AI client gives you direct control over your CI/CD pipelines via Travis CI. Instead of having to open a browser and click through five different pages just to check status or re-run something, you tell your agent what you need—a specific job log, the full history for a repo, or simply the latest branch health.

It executes precise API calls; that's it.

Getting Status and Discovery

To figure out which projects are hooked up to Travis CI, you can run list_travis_repositories to get every single repository configured on your account. If you need more detail on one specific project, use get_repository_details to pull its key ID or default branch status. For a quick overview of all your branches and what their absolute latest build status is, just call list_repository_branches.

To see the recent history of completed builds for any repo, list_repository_builds gives you that list right off the bat.

Checking Build Details and Auditing Logs

You can drill down deep into how a build ran. If you've got a specific build ID, get_build_details pulls up the complete summary—whether it passed or failed. To see every individual job that ran inside that one build execution, use list_build_jobs. You also gotta know who you are; run get_user_profile to pull your authenticated Dev profile details and check any quotas or restrictions assigned to your account.

Forcing Actions and Deployments

Don't just read logs—you can make things happen. If a hotfix needs pushing, you kick off a brand new build for any repository on a specific branch using trigger_new_build, and you can even include a commit message with the request. If an automated test gets stuck in some kind of infinite loop or failed early, use cancel_travis_build to shut it down immediately; that action can't be undone, so be careful.

You can also force a re-run of any previous build you want by calling restart_travis_build, giving the old ID and making it run again.

This whole setup means your agent handles everything: listing all repos, getting branch status, retrieving full job logs within a single build, triggering fresh deployments on any specified branch, or stopping running builds.

How Travis CI MCP Works

  1. 1 Install the marketplace connector on your runtime.
  2. 2 Input your personal Travis CI API Token into the verified slot.
  3. 3 Instruct your AI agent to run a specific command, like list_repository_branches, or intervene by calling trigger_new_build.

The bottom line is: you tell the agent what status you need (e.g., 'What's wrong with the main branch?'), and it runs the necessary API calls to get the data back.

Who Is Travis CI MCP For?

This is for the ops engineer who's tired of clicking through dashboards at 2am. If your job involves checking build health, managing multiple Git orgs, or making sure a hotfix deploys when needed—you need this. It cuts out all the tab-switching and manual data aggregation.

DevOps Engineer

Manages test fleets across multiple organizations, using tools like list_travis_repositories to audit status or executing a hard kill with cancel_travis_build on stuck jobs.

Senior Developer

Needs rapid validation of commits. They'll ask the agent to run get_build_details immediately after pushing code, getting the log output before they even start debugging.

Release Manager

Responsible for production stability. They use this server to observe the 'main' branch status and force controlled deployments using trigger_new_build when a release window opens.

What Changes When You Connect

  • Stop hunting through dashboards. Use list_repository_branches to get an immediate, consolidated overview of every branch's latest build health in one prompt.
  • Debugging is faster when you don't switch tabs. After identifying a failing build ID using list_repository_builds, call get_build_details to pull the full context directly into your chat window.
  • Need to fix production fast? Instead of manually pushing code and waiting, use trigger_new_build. You just provide the repo slug and branch name, and the build starts instantly.
  • Don't let failing tests hang forever. If a test suite gets stuck, run cancel_travis_build immediately through your agent to free up resources and clear the queue.
  • Audit everything without clicking. Use list_travis_repositories to see every single Git project connected to CI, making it easy to scope out where the problem is originating.

Real-World Use Cases

01

The urgent hotfix deployment

A Release Manager realizes 'main' has a critical bug. Instead of logging into Travis and clicking 'Build Now', they prompt their agent: 'Run trigger_new_build for vinkius/core on main with message Hotfix'. The agent instantly kicks off the build, saving minutes of manual clicks.

02

Debugging a flaky feature branch

A developer pushes to 'feature/graphql', and it fails. They ask their agent for get_build_details using the build ID. The agent pulls the full report, allowing the developer to skip checking 15 different logs and go straight to the error message.

03

Checking overall team stability

A DevOps engineer needs a quick status check across 20 repos before a meeting. They prompt their agent to run list_repository_branches. The agent returns a single, structured list showing the build status for every major branch in one go.

04

Killing runaway jobs

A CI job starts running but hits an infinite loop. Instead of waiting 30 minutes and consuming API quota, the engineer tells the agent: 'Run cancel_travis_build for this ID.' The agent executes the stop command immediately.

The Tradeoffs

Checking status one repo at a time

Manually opening 10 tabs, clicking into each repository's dashboard, and scrolling down to find out if the 'main' branch passed or failed.

Just prompt your agent: 'Use list_repository_branches.' It gives you the status for all ten repos in one structured response.

Forgetting which build ID to restart

Trying to remember if they need to rerun a build from last week or yesterday, leading them to check list_repository_builds and get lost in the dates.

First, use list_repository_builds to narrow down the date range. Then, pass the specific ID you want back into restart_travis_build.

Assuming all builds are clean

Not verifying the job structure and just relying on a general 'Success' status shown in the summary view.

Always use list_build_jobs after getting build details. This lets you inspect individual jobs to ensure nothing was skipped or flagged silently.

When It Fits, When It Doesn't

Use this server if your core pain point is interacting with complex, asynchronous CI/CD pipelines without using a web browser. You need programmatic control over status checks, job execution, and build triggers—that's it.

Don't use this if you are just running simple local tests on your machine (use standard CLI tools). Also, don't use it if your primary goal is viewing the code itself; that requires Git clients. You need this when you must act on build data or aggregate status across multiple repositories.

Remember: list_repository_branches gives you a high-level view of all branches. If you only care about one repo, start with get_repository_details. Use the specific tools to solve narrow problems (like cancel_travis_build) rather than trying to pass everything through one command.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Travis CI. 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.

VINKIUS INFRASTRUCTURE

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Sandboxed per request

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No stored credentials

DLP Enforced

Policy on every call

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EU data residency

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

cancel_travis_build get_build_details get_repository_details get_user_profile list_build_jobs list_repository_branches list_repository_builds list_travis_repositories restart_travis_build trigger_new_build

Checking build status shouldn't mean opening five different tabs.

Right now, checking the health of a project means logging into Travis CI. You open the main dashboard, check repo A’s 'main' branch status. Then you have to switch tabs for repo B to see its latest build. If you need the overall picture—say, if five branches failed and you don't know which one caused the mess—you spend ten minutes manually clicking through statuses.

With this MCP server, you just tell your agent: 'What are the build statuses?' The agent runs `list_repository_branches` and returns a clean, structured list right in the chat. You get the status for every branch across all repos instantly. That's what it’s supposed to do.

Travis CI MCP Server: Trigger builds and manage deployments.

Manual deployment means triggering a build, waiting 10 minutes for the results, finding the specific commit ID that passed, then manually tagging it. It’s slow, requires copy-pasting IDs, and is prone to human error when you're under deadline pressure.

Now, you just need a fix deployed. You instruct your agent: 'Run `trigger_new_build` for the core repo on main.' The agent handles all the API calls, starting the pipeline instantly with one simple command. It’s reliable and it’s fast.

Common Questions About Travis CI MCP

How do I see every repository in Travis CI? (list_travis_repositories) +

Run list_travis_repositories. This tool outputs a list of all repository slugs configured under your account, giving you a full inventory of what the server can manage.

What is the difference between `get_build_details` and `list_build_jobs`? +

get_build_details gives you the top-level summary for an entire build run (the 'macro view'). If that summary shows a failure, use list_build_jobs to zoom in and see exactly which specific job within that run failed.

Can I force a new deployment using the API? (trigger_new_build) +

Yes. Use trigger_new_build, providing the repo slug, branch name, and an optional message. This simulates triggering a build from the web UI.

`list_repository_branches` only shows status, right? Can I get details too? +

No, list_repository_branches is designed for quick status checks across all branches. If you need deep, specific data (like the ID or default branch), use get_repository_details instead.

What happens if I run `cancel_travis_build`? +

The running build immediately stops execution and cannot be restarted. It's a hard stop, useful for clearing stuck jobs or saving resources.

What information does `get_user_profile` return about my account access or quotas? +

It provides your authenticated user details, including API scope and current quota usage. You use this tool to confirm the token's permissions before trying complex operations. This prevents hitting rate limits or encountering permission errors later.

If a build fails, what specific data can `get_build_details` provide beyond just the status code? +

It gives you full access to the artifact and execution logs for that run. You get granular, time-stamped output showing exactly where the job failed—down to the problematic command line or dependency failure.

When using `restart_travis_build`, what unique identifier must I provide to successfully re-run an old job? +

You must supply the specific Build ID. This numerical ID pinpoints one exact build execution in history. If you use anything else, the command fails because it can't determine which historical run needs restarting.

Where do I retrieve my API Token for Travis CI? +

To obtain your credentials, log into your target travis-ci.com backend portal. Click your user avatar located prominently in the top right, expanding to access Settings. Look specifically under the API Authentication heading. Copy your displayed 'Token' verbatim. Deposit the string in the safe box below.

Can I permanently delete repositories via this interface? +

No. The integration endpoints solely oversee execution boundaries (like manipulating jobs or active builds). Destructive endpoints concerning account integrity or unhooking internal repositories from version control simply do not exist in this scope.

Can I use a single API Token for both travis-ci.com and travis-ci.org? +

No. Tokens for public projects (travis-ci.org), private projects (travis-ci.com), and Enterprise installations are not interchangeable. You must retrieve the token tightly bound to the specific environment you intend to integrate with.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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