Codefresh 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 Codefresh 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 Codefresh, 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 Codefresh MCP Server
Connect your Codefresh account to any AI agent and take full control of your CI/CD and cloud-native delivery through natural conversation. Streamline how you automate and monitor software deployments natively.
The Vercel AI SDK gives every Codefresh tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Oversight — List and retrieve details for all CI/CD pipelines including their configurations natively
- Build Management — Trigger new builds for specific pipelines and specify branches or variables flawlessly
- Workflow Intelligence — Access detailed status and execution info for recent builds (workflows) flawlessly
- Cluster Logistics — Monitor all connected Kubernetes and delivery clusters to verify deployment targets securely
- Environment Auditing — List shared contexts, including secrets and variables, used in your workflows securely
- integrated Visibility — Retrieve detailed build metadata and user profile information directly within your workspace
The Codefresh 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 Codefresh to Vercel AI SDK via MCP
Follow these steps to integrate the Codefresh 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 Codefresh and passes them to the LLM
Why Use Vercel AI SDK with the Codefresh MCP Server
Vercel AI SDK provides unique advantages when paired with Codefresh 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 Codefresh integration everywhere
Built-in streaming UI primitives let you display Codefresh 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
Codefresh + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Codefresh MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Codefresh in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Codefresh tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Codefresh capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Codefresh through natural language queries
Codefresh MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Codefresh to Vercel AI SDK via MCP:
get_build_execution_details
Get detailed status and execution info for a specific build
get_my_codefresh_profile
Retrieve information about the authenticated user and account
get_pipeline_configuration
Get detailed information for a specific pipeline
list_codefresh_builds
List all recent builds (workflows) in the account
list_codefresh_pipelines
List all CI/CD pipelines in the account
list_delivery_clusters
List all connected Kubernetes/Delivery clusters
list_shared_contexts
List all shared environment contexts (secrets, variables)
trigger_codefresh_build
Trigger a new build for a specific pipeline
Example Prompts for Codefresh in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Codefresh immediately.
"List all my Codefresh pipelines."
"Trigger the 'api-service-ci' pipeline on the 'develop' branch."
"Show me the status of my recent builds."
Troubleshooting Codefresh MCP Server with Vercel AI SDK
Common issues when connecting Codefresh to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCodefresh + Vercel AI SDK FAQ
Common questions about integrating Codefresh 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 Codefresh 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 Codefresh to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.