# Monitor and optimize GitHub Actions costs > GitHub Actions cost monitoring without application source-code access. Find CI waste and connect your coding agent through MCP for code-aware optimization. Source: [https://pipetrics.com](https://pipetrics.com/) GitHub Actions cost monitoring shows where CI time and modeled spend accumulate, without granting Pipetrics access to your application source code. Then connect your coding agent through MCP to investigate changes using repository context you control. [Analyze your GitHub Actions](https://app.pipetrics.com/) ## GitHub Actions cost monitoring Attribute usage and modeled cost to repositories, workflows, jobs, runners, outcomes, and billing categories. [Read more](https://pipetrics.com/github-actions-cost-monitoring) ## Reduce GitHub Actions costs Prioritize unnecessary runs, repeated failures, cache misses, matrices, concurrency, and runner choices. [Read more](https://pipetrics.com/github-actions-cost-optimization) ## Find slow GitHub Actions Compare median and p95 duration, queue delays, jobs, steps, reruns, and commit-associated regressions. [Read more](https://pipetrics.com/github-actions-performance-monitoring) ## Find the waste. Fix the workflow. GitHub Actions cost monitoring connects a repository-level signal to the workflow, job, and step behind it. From there, decide what to change. ### Ask your coding agent Pipetrics MCP brings measured runtime, queue, failure, retry, and cost evidence into Codex, Claude Code, OpenCode, and compatible clients. [Learn more](https://pipetrics.com/docs/github-actions-optimization-mcp) ### See where spend goes Filter Cost Profiler by repository, branch, runner, trigger, conclusion, or billing category. [Learn more](https://pipetrics.com/github-actions-cost-monitoring) ### See minutes at a glance A workflow treemap shows which pipelines consume the largest share of runner minutes, so you know where to investigate first. [Learn more](https://pipetrics.com/github-actions-cost-optimization) ### Trace bottlenecks Compare average, median, and p95 duration, then drill into retries, outcomes, jobs, and the slowest steps. [Learn more](https://pipetrics.com/github-actions-performance-monitoring) ### Keep source code private No application source-code access required. Pipetrics uses read-only Actions and supporting metadata permissions; your coding agent controls its own repository access. [Learn more](https://pipetrics.com/docs/integration) ### Share the signal Send workflow outcomes to Slack or bring Pipetrics metrics into your existing Grafana dashboards. ## Your CI evidence. Your coding agent. Use Pipetrics MCP for code-aware GitHub Actions optimization without granting Pipetrics access to your application source code. Your agent can inspect the repository using its own permissions. ### CI execution context GitHub Actions telemetry → Pipetrics → MCP → your coding agent Durations, queue delays, outcomes, reruns, workflow paths, and modeled cost. ### Repository context Your repository → your coding agent, under permissions you choose Workflow YAML and application files are read by your tool, not supplied to Pipetrics through MCP. Pipetrics supplies CI evidence. Your coding agent combines it with repository context and proposes changes for your review. ### Start with a question. Copy a prompt into your connected coding agent. - Find the workload Which workflows consume the most runner time? - Investigate failures Where are failures and reruns wasting time? - Plan a change Inspect this workflow and propose one safe change. [Connect your coding agent](https://pipetrics.com/docs/github-actions-optimization-mcp) [See how MCP optimization works](https://pipetrics.com/github-actions-optimization-mcp) ## Pricing Free $0/mo - unlimited users - 14 days data retention - cost profiler(current month) Coming in 2026 - weekly summary [Select](https://app.pipetrics.com/) Pro $10/repo/mo - unlimited users - 360 days data retention - cost profiler (full history) - grafana integration - slack notifications Coming in 2026 - weekly summary - budget alerts - automated optimization suggestions [Select](https://app.pipetrics.com/) Enterprise custom price per repo - unlimited users - unlimited data retention - grafana integration - talk with experts Coming in 2026 - weekly summary - budget alerts - automated optimization suggestions - GitHub App for GitHub Enterprise Server - Bring-Your-Own-Database (BYOD) - GitHub log archive [Contact us](https://pipetrics.com/#contact) ## Follow the evidence Start with the finding that matters, then drill into the workflow data behind it. [See where workflow minutes go](https://pipetrics.com/github-actions-cost-optimization) The treemap shows each workflow's share of runner minutes, not billed cost. [Attribute GitHub Actions cost](https://pipetrics.com/github-actions-cost-monitoring) Cost Profiler breaks modeled usage down from repositories to workflows and jobs. [Isolate failed usage](https://pipetrics.com/github-actions-cost-monitoring) Filter Cost Profiler to failures to see where failed modeled cost accumulates. [Understand why workflows run](https://pipetrics.com/github-actions-cost-optimization) See execution counts by trigger event before changing workflow configuration. [Investigate jobs and steps](https://pipetrics.com/github-actions-performance-monitoring) Inspect job runtime share, duration statistics, modeled cost, and top steps. [Watch workflow duration](https://pipetrics.com/github-actions-performance-monitoring) Compare average and p95 duration on a workflow trend chart. ## Choosing a tool? [Cost optimization tools Analytics, runners & build systems](https://pipetrics.com/github-actions-cost-optimization-tools) [Observability tools Monitoring, failures & performance](https://pipetrics.com/github-actions-observability-tools) ## About us ![Photo of Jakub](https://pipetrics.com/images/jakub.avif) ### [Jakub Różycki](https://pipetrics.com/authors/jakub-rozycki) DevOps engineer focused on CI/CD optimization, GitHub Actions, and developer tooling. Working in infrastructure and automation since 2018. [Read Jakub's biography](https://pipetrics.com/authors/jakub-rozycki) [](https://www.linkedin.com/in/jakubrozycki/) [](https://github.com/Davasny) ![Photo of Piotr](https://pipetrics.com/images/piotr.avif) ### Piotr Piwowar DevOps Engineer with over 5 years of experience designing and operating cloud-native and hybrid infrastructure. Started out building scalable systems for one of Europe’s largest push notification platforms, working extensively with AWS, Azure, and OVHCloud. Comfortable across both cloud and bare-metal environments, with a strong focus on automation, reliability, and performance. Experienced collaborating with engineering teams using Python, Go, Rust, and Java to deliver modern, efficient DevOps solutions. [](https://www.linkedin.com/in/piotr-piwowar-78a8a0206/) ![Photo of Piotr](https://pipetrics.com/images/piotr.avif)