Bring Kubernetes
to LangChain
Create your Vinkius account to connect Codefresh to LangChain and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the 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.
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
- Subscribe to this server
- Enter your Codefresh API Key (found in User Settings > API Keys)
- 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
Built-in capabilities (8)
Get 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
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Codefresh through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Codefresh MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Codefresh queries for multi-turn workflows
Codefresh in LangChain
Why run Codefresh with Vinkius?
The Codefresh connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Codefresh using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Codefresh and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Codefresh to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Codefresh for LangChain
Every request between LangChain and Codefresh is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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