Travis CI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Travis CI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Travis CI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Travis CI MCP Server
Supercharge your DevOps methodology by linking Travis CI exclusively to your conversational agent. Stop tab-switching to discover broken build matrices. Instead, immediately drill down into repository health, trigger precise branches, or cancel looping jobs explicitly using semantic instructions from your active workspace.
The Vercel AI SDK gives every Travis CI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Pipeline Discovery — List all repositories hooked natively into your Travis CI ecosystem and rapidly extract their internal ID or synchronization status
- Build Operations — Audit logs for specific branches, retrieve recent builds, or zoom in mathematically to inspect isolated "Jobs" operating within a single build
- Execution Command — Bypass graphic interfaces: Trigger fresh branch builds manually, force a strict "Restart" on a dead job, or rapidly "Cancel" a running test suite behaving poorly
- Branch Diagnostics — Call all tracked Git branches simultaneously to get an overview of their absolute latest build state
- Identity Sync — View your associated Dev profiles directly via the engine and list specific quotas or restrictions over your own session
The Travis CI MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Travis CI to Vercel AI SDK via MCP
Follow these steps to integrate the Travis CI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Travis CI and passes them to the LLM
Why Use Vercel AI SDK with the Travis CI MCP Server
Vercel AI SDK provides unique advantages when paired with Travis CI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Travis CI integration everywhere
Built-in streaming UI primitives let you display Travis CI tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Travis CI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Travis CI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Travis CI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Travis CI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Travis CI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Travis CI through natural language queries
Travis CI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Travis CI to Vercel AI SDK via MCP:
cancel_travis_build
This action is irreversible for the current execution. Cancels a currently running Travis CI build
get_build_details
Retrieves full details for a specific Travis CI build
get_repository_details
g. "org/repo") and need its ID or default branch status. Retrieves details for a specific Travis CI repository
get_user_profile
Retrieves the authenticated Travis CI user profile
list_build_jobs
Lists all individual jobs within a specific build
list_repository_branches
Lists all branches with their latest build status on Travis CI
list_repository_builds
Provide the repository slug. Lists recent build executions for a specific repository
list_travis_repositories
Lists all repositories configured on Travis CI
restart_travis_build
Requires the build ID. Restarts a previously executed Travis CI build
trigger_new_build
Provide the repo slug, git branch, and an optional message. Triggers a new Travis CI build for a repository on a specific branch
Example Prompts for Travis CI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Travis CI immediately.
"Retrieve the build details for job execution ID #812323."
"Trigger a new deployment build on repo vinkius/core under main branch with message 'Hotfix'."
Troubleshooting Travis CI MCP Server with Vercel AI SDK
Common issues when connecting Travis CI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTravis CI + Vercel AI SDK FAQ
Common questions about integrating Travis CI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Travis CI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Travis CI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.