CircleCI MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CircleCI through the 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 CircleCI, 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 CircleCI MCP Server
Connect your CircleCI account to any AI agent and take full control of your CI/CD pipelines and software delivery through natural conversation. Streamline how you monitor and trigger automated builds.
The Vercel AI SDK gives every CircleCI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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 Oversight — List and retrieve details for recent CI/CD pipelines across your organizations natively
- Trigger Management — Manually trigger new pipeline runs for specific projects and branches flawlessly
- Workflow Intelligence — Access detailed information for workflows and their constituent jobs securely
- Job Auditing — Retrieve detailed metadata and execution status for specific jobs flawlessly
- Context Logistics — List shared environment contexts used for securing sensitive project data flawlessly
- Developer Insights — Retrieve your own user profile and organization membership information directly within your workspace
The CircleCI MCP Server exposes 8 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 CircleCI to Vercel AI SDK via MCP
Follow these steps to integrate the CircleCI 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 8 tools from CircleCI and passes them to the LLM
Why Use Vercel AI SDK with the CircleCI MCP Server
Vercel AI SDK provides unique advantages when paired with CircleCI 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 CircleCI integration everywhere
Built-in streaming UI primitives let you display CircleCI 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
CircleCI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CircleCI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CircleCI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CircleCI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CircleCI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CircleCI through natural language queries
CircleCI MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect CircleCI to Vercel AI SDK via MCP:
get_job_details
Get detailed information for a specific job
get_my_cci_profile
Retrieve information about the authenticated user
get_workflow_details
Get detailed information for a specific workflow
list_cci_contexts
List shared contexts for an organization
list_cci_pipelines
List recent CI/CD pipelines
list_pipeline_workflows
List all workflows within a specific pipeline
list_workflow_jobs
List all jobs within a specific workflow
trigger_cci_pipeline
Trigger a new pipeline for a project
Example Prompts for CircleCI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CircleCI immediately.
"List my last 5 pipelines in CircleCI."
"Trigger a new pipeline for project 'gh/acme/api' on the 'main' branch."
"Show me the status of all jobs in workflow ID 'wf-12345'."
Troubleshooting CircleCI MCP Server with Vercel AI SDK
Common issues when connecting CircleCI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCircleCI + Vercel AI SDK FAQ
Common questions about integrating CircleCI 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 CircleCI 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 CircleCI to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.