Codefresh MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Codefresh through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"codefresh": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Codefresh Agent",
instructions:
"You help users interact with Codefresh " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Codefresh?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Codefresh tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Codefresh MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Codefresh via MCP
Why Use Mastra AI with the Codefresh MCP Server
Mastra AI provides unique advantages when paired with Codefresh through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Codefresh without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Codefresh tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Codefresh + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Codefresh MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Codefresh, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Codefresh as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Codefresh on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Codefresh tools alongside other MCP servers
Codefresh MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Codefresh to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Codefresh to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCodefresh + Mastra AI FAQ
Common questions about integrating Codefresh MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.