Connect your account, then chat with AI to run tools.
Inspect pipelines, build history, runtime agents, integration contexts, and deployment analytics from chat — without switching between Codefresh dashboards.
Try this workflow
Recent build failures
In Codefresh, show the 10 most recent workflow builds and summarize which pipelines failed in the last 24 hours.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsBuilt for
Platform Engineers, DevOps Teams, Release Managers, SREs, Kubernetes Operators
Recent build failures
Release managers triage failed builds before standup.
In Codefresh, show the 10 most recent workflow builds and summarize which pipelines failed in the last 24 hours.
Pipeline inventory
Platform teams audit stale CI configuration regularly.
List all Codefresh pipelines grouped by project and flag any that have not run in the past week.
Context health check
On-call engineers verify wiring before rerunning deploys.
Read my Codefresh integration contexts and execution contexts — note any missing Kubernetes or registry connections.
Audit trail
Compliance reviews need actor and timestamp detail.
Pull the latest Codefresh audit events and summarize who changed pipeline or context settings this week.
What is Codefresh MCP?
Codefresh MCP connects your Codefresh account to AI assistants so you can inspect pipelines, builds, contexts, agents, and analytics from chat without copying dashboard exports.
Can agents trigger builds or edit pipelines?
This integration is read-only. Agents can inspect CI/CD state and analytics but cannot trigger builds, create pipelines, or mutate account settings.
Why do build reads return download links?
Build history responses include full pipeline YAML per run. Large pages spill to a presigned download link instead of inline JSON — use a small limit (10–25) for interactive triage.
Domain knowledge for Codefresh — workflow patterns, data models, and gotchas for your AI agent.
Codefresh automates build, test, and deploy workflows for cloud-native applications with GitOps and Kubernetes-native delivery.
Read Codefresh account settings including security preferences and general configuration. Use this first to obtain account_id for team-member lookups.
Read team members and access for a Codefresh account. Requires account_id from account settings. Returns user records for the specified account.
Read runtime agents connected to your Codefresh account. Use to inspect agent status, versions, and metadata across Kubernetes or hybrid runners.
Read analytics metadata describing available Codefresh reports, dimensions, and date-range options. Use before pulling a named analytics report.
Read a specific Codefresh analytics report by report_name. Discover valid report_name values from analytics metadata first.
Read Codefresh audit events for compliance and change tracking. Returns event types, timestamps, and actors. Paginate with page and pageSize.
Read Codefresh workflow builds. Paginate sequentially: omit page on the first call, then page=2 when pagination.nextPage is true on the prior response...
Read integration contexts in Codefresh (Git, Docker registries, cloud providers, Kubernetes clusters). Use when wiring pipelines or debugging authenti...
Read execution contexts that define where pipeline steps run (runtime clusters, hybrid environments). Use to distinguish deployment targets.
Read Helm chart repositories configured in Codefresh. Returns repository names, URLs, and authentication settings for Kubernetes deployments.
Read CI/CD pipelines in Codefresh. Returns pipeline identifiers, names, and status metadata. Paginate with offset and limit when the catalog is large.
Read Codefresh projects that group pipelines and repositories. Use to navigate project-scoped pipeline names and workspace organization.
Read available pipeline step types and their configuration options. Use when designing or modifying pipeline YAML.
Codefresh MCP connects your Codefresh account to AI assistants so you can inspect pipelines, builds, contexts, agents, and analytics from chat without copying dashboard exports.
This integration is read-only. Agents can inspect CI/CD state and analytics but cannot trigger builds, create pipelines, or mutate account settings.
Build history responses include full pipeline YAML per run. Large pages spill to a presigned download link instead of inline JSON — use a small limit (10–25) for interactive triage.
Build pages are sequential within one session. Start without a page number, then request page 2 only when the prior response shows pagination.nextPage=true. Skipping pages returns an error.
Connect with a Codefresh API key or OAuth from your Codefresh account settings. The key must have read access to the resources you want agents to inspect.
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/codefresh. Authentication is handled automatically.
Codefresh provides 13 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
Codefresh uses API Key or One-click sign in. Codefresh requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect Codefresh to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/codefreshThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
Codefresh and paste the MCP URL into Remote MCP server URL.Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).
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