Integrate Travis CI with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCancel travis build on Travis CI
This action is irreversible for the current execution. Cancels a currently running Travis CI build
Get build details on Travis CI
Retrieves full details for a specific Travis CI build
Get repository details on Travis CI
g. "org/repo") and need its ID or default branch status. Retrieves details for a specific Travis CI repository
Get user profile on Travis CI
Retrieves the authenticated Travis CI user profile
List build jobs on Travis CI
Lists all individual jobs within a specific build
List repository branches on Travis CI
Lists all branches with their latest build status on Travis CI
List repository builds on Travis CI
Provide the repository slug. Lists recent build executions for a specific repository
List travis repositories on Travis CI
Lists all repositories configured on Travis CI
Restart travis build on Travis CI
Requires the build ID. Restarts a previously executed Travis CI build
Trigger new build on Travis CI
Provide the repo slug, git branch, and an optional message. Triggers a new Travis CI build for a repository on a specific branch
Security & Code Integrity Audit
Every tool in the Travis CI MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Supported Use Cases for Travis CI
The Travis CI integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
AI-Driven continuous integration Workflows
Integrate Travis CI to access native continuous integration capabilities. This allows LLMs to perform secure, deterministic execution of ship it tasks without hard-coded API scripts.
build automation & AI Execution
Integrate Travis CI for AI-driven build automation management. The MCP server structures the outputs required for Claude to analyze ship it data.
Travis CI. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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