4,000+ servers built on MCP Fusion
Vinkius
LlamaIndexFramework
LlamaIndex
Why use Codefresh MCP Server with LlamaIndex?

Bring Kubernetes
to LlamaIndex

Create your Vinkius account to connect Codefresh to LlamaIndex 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.

MCP Inspector GDPR Free for Subscribers
Get Build Execution DetailsGet My Codefresh ProfileGet Pipeline ConfigurationList Codefresh BuildsList Codefresh PipelinesList Delivery ClustersList Shared ContextsTrigger Codefresh Build
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Codefresh

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

  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

Built-in capabilities (8)

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

Why LlamaIndex?

LlamaIndex agents combine Codefresh tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Codefresh tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Codefresh tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Codefresh, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Codefresh tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Codefresh in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

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.

View full Codefresh details →
Codefresh
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* 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

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

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.

Why Vinkius

Codefresh and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Codefresh to LlamaIndex 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.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Codefresh for LlamaIndex

Every request between LlamaIndex 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.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Codefresh tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Explore More MCP Servers

View all →