Codefresh MCP Server
Manage CI/CD and GitOps via Codefresh — track pipelines, trigger builds, and monitor delivery clusters directly from any AI agent.
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What is the Codefresh MCP Server?
The Codefresh MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Codefresh via 8 tools. Manage CI/CD and GitOps via Codefresh — track pipelines, trigger builds, and monitor delivery clusters directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (8)
Tools for your AI Agents to operate Codefresh
Ask your AI agent "List all my Codefresh pipelines." and get the answer without opening a single dashboard. With 8 tools connected to real Codefresh data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Codefresh MCP Server capabilities
8 toolsGet detailed status and execution info for a specific build
Retrieve information about the authenticated user and account
Get detailed information for a specific pipeline
List all recent builds (workflows) in the account
List all CI/CD pipelines in the account
List all connected Kubernetes/Delivery clusters
List all shared environment contexts (secrets, variables)
Trigger a new build for a specific pipeline
What the Codefresh MCP Server unlocks
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.
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
How it works
1. Subscribe to this server
2. Enter your Codefresh API Key (found in User Settings > API Keys)
3. Start managing your CI/CD pipelines from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — monitor pipeline health and trigger manual builds using natural language
- Release Managers — audit deployment success rates and cluster status without opening the dashboard
- Software Developers — quickly look up build execution details and verify environmental contexts straight from their chat interface
- Infrastructure Teams — verify Kubernetes cluster connectivity and monitor GitOps delivery
Frequently asked questions about the Codefresh MCP Server
Can I trigger a pipeline run for a specific branch?
Yes! Use the trigger_codefresh_build tool. You can provide the pipeline ID and specify the branch name in the payload. The agent will instruct Codefresh to start the build immediately.
How do I see the status of all my Kubernetes clusters in Codefresh?
Use the list_delivery_clusters tool. Your agent will fetch all connected clusters, showing you which targets are available for deployment and their current health status.
Where do I find my Codefresh API Key?
Log in to Codefresh, click on your profile icon, go to User Settings, and select API Keys. You can generate and copy a new token from that section.
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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.
Give your AI agents the power of Codefresh MCP Server
Production-grade Codefresh MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.