ActionsPulse 🚀

Real-time GitHub Actions observability through VS Code with GitHub Copilot

DORA Metrics • Cost Analysis • CI/CD Health • Security Compliance

_{☝️ This is an actual interactive HTML dashboard generated by ActionsPulse — see full tour below}

✨ What is ActionsPulse?

ActionsPulse is an Agentic MCP Server that brings DevOps observability directly into your IDE. Ask GitHub Copilot questions like:

💬 "Show me our DORA metrics for the last 30 days"
💬 "Which workflows are costing us the most?"
💬 "Generate a compliance report for SOC2"
💬 "What's our deployment frequency this month?"

And get interactive visual dashboards with actionable insights.

🎯 Features

Feature	Organization	Enterprise
📊 DORA Metrics	✅	✅ Enhanced
⚡ Performance Analytics	✅	✅
💰 Cost Optimization	✅	✅ Cross-org
🏃 Runner Utilization	✅ Self-hosted	✅ All runners
👥 Team Productivity	✅	✅
🔒 Compliance Reports	✅ (GHAS)	✅
💾 Cache Analytics	✅	✅
🎓 Maturity Assessment	✅	✅

🖼️ Dashboard Tour

ActionsPulse generates interactive HTML dashboards that you can open in any browser. Simply ask Copilot:

💬 "Generate DevOps reports for my organization"

Or use the generate_devops_reports tool directly. Here's a complete tour of what you get:

📊 Dashboard Overview — Executive summary with all key metrics at a glance

The main dashboard provides:

🎯 DevOps Maturity Score with visual gauge
📈 DORA Metrics summary (Deployment Frequency, Lead Time, Change Failure Rate, MTTR)
⚡ CI/CD Pipeline health overview
💰 Cost analysis highlights
🔒 Security & compliance status
Quick navigation to detailed reports

📈 DORA Metrics — Industry-standard DevOps performance indicators

Track the four key DORA metrics:

Deployment Frequency — How often you ship to production
Lead Time for Changes — Time from commit to production
Change Failure Rate — Percentage of deployments causing failures
Mean Time to Restore — How quickly you recover from incidents

Each metric includes trend analysis and benchmarks against industry standards (Elite, High, Medium, Low performers).

⚡ CI/CD Pipeline Health — Workflow performance and reliability

Deep dive into your CI/CD pipelines:

🔄 Workflow success rates and trends
⏱️ Average run times with P95/P99 latencies
🚨 Failure analysis and common error patterns
📊 Per-repository and per-workflow breakdowns
🏃 Queue times and runner utilization

💰 Cost Optimization — Runner costs and savings opportunities

Understand and optimize your GitHub Actions spending:

💵 Total costs by runner type (GitHub-hosted vs self-hosted)
📊 Cost breakdown by repository, workflow, and OS
🎯 Actionable recommendations for cost savings
📈 Spending trends and projections
⚡ Efficiency metrics (cost per workflow, cost per minute)

🔒 Security & Compliance — Audit-ready compliance reports

Stay compliant and secure:

✅ Compliance framework coverage (SOC2, ISO27001, HIPAA, PCI-DSS)
🔍 Secret scanning status and alerts
🛡️ Code scanning findings
📋 Branch protection rule compliance
🔐 GHAS (GitHub Advanced Security) feature adoption

🎓 DevOps Maturity — Organizational capability assessment

Assess your DevOps maturity level:

📊 Overall maturity score with visual gauge
🎯 Category scores (CI/CD, Testing, Security, Monitoring, etc.)
📈 Improvement recommendations prioritized by impact
🏆 Benchmark against industry standards
📋 Actionable roadmap for advancement

💡 How to generate these dashboards:
Code
# Ask Copilot in natural language:
"Generate DevOps reports for the last 30 days"

# Or invoke the tool directly:
#generate_devops_reports --timeframe 30d
Reports are saved to timestamped folders as standalone HTML files — share them with your team or embed in internal wikis!

🚀 Quick Start

Install from MCP Registry

ActionsPulse is published to the official MCP Registry as io.github.tsviz/actions-pulse.

🌐 Web UI (Recommended) — Use the MCP Registry UI for 1-click installation into VS Code or Cursor:

Go to vemonet.github.io/mcp-registry
Search for "actions-pulse"
Click Install → Select your client (VS Code, Cursor)
Configure environment variables when prompted

Manual Docker Setup — Or follow the steps below to configure manually.

Prerequisites

✅ Docker installed
✅ GitHub Personal Access Token (fine-grained recommended)
✅ VS Code with GitHub Copilot

1. Create a Fine-Grained Personal Access Token

Go to GitHub Settings → Developer Settings → Personal Access Tokens → Fine-grained tokens
Click Generate new token
Configure basic settings:
- Token name: actions-pulse-mcp
- Expiration: 90 days (or per your security policy)
- Resource owner: Select your organization
- Repository access: All repositories

Set Repository permissions:

Permission	Access	Required	Purpose
Actions	Read	✅ Yes	Workflow runs, cache usage
Administration	Read	✅ Yes	Billing data, repo settings
Contents	Read	✅ Yes	Read config files from devops-config repo
Custom properties	Read	✅ Yes	Read custom property values on repositories
Deployments	Read	✅ Yes	Deployment frequency, environments (DORA)
Discussions	Read	🔶 Optional	Community engagement metrics
Environments	Read	✅ Yes	Environment protection rules
Issues	Read	✅ Yes	Issue metrics, resolution times (DORA)
Merge queues	Read	🔶 Optional	Merge queue adoption and wait times
Metadata	Read	✅ Yes	Basic repo info (auto-granted)
Pull requests	Read	✅ Yes	PR metrics, lead time, review times (DORA)

Set Organization permissions:

Permission Access Required Purpose
Custom properties Read ✅ Yes Read property definitions/schemas at org level
Custom properties for organizations Read ✅ Yes Read property values assigned to repositories

Permission	Access	Required	Purpose
Custom properties	Read	✅ Yes	Read property definitions/schemas at org level
Custom properties for organizations	Read	✅ Yes	Read property values assigned to repositories

Set Organization permissions (continued):

Permission	Access	Required	Purpose
Members	Read	🔶 Optional	Team membership for productivity metrics
Self-hosted runners	Read	🔶 Optional	Runner utilization metrics
Administration	Read	✅ Yes	Org billing and settings

Optional permissions (for compliance features, requires GitHub Advanced Security):

Permission Access Required Purpose
Secret scanning alerts Read ❌ Optional Compliance audit reports
Code scanning alerts Read ❌ Optional Compliance audit reports
Click Generate token and save it securely

Permission	Access	Required	Purpose
Secret scanning alerts	Read	❌ Optional	Compliance audit reports
Code scanning alerts	Read	❌ Optional	Compliance audit reports

2. Configure MCP Server

Option A: Using env-file (Recommended)

Add to your ~/.mcp.env:

bash

GITHUB_TOKEN=ghp_your_fine_grained_token_here

📄 mcp.json with env-file

Add to VS Code's MCP settings (~/.vscode/mcp.json or workspace .vscode/mcp.json):

JSON Config

{
  "servers": {
    "actions-pulse": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "--env-file", "/path/to/.mcp.env",
        "-e", "GITHUB_ORG=your-org-name",
        "ghcr.io/tsviz/actions-pulse:latest"
      ],
      "type": "stdio"
    }
  }
}

Option B: Direct Environment Variables

📄 mcp.json with inline env vars

JSON Config

{
  "servers": {
    "actions-pulse": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "GITHUB_TOKEN=ghp_your_token",
        "-e", "GITHUB_ORG=your-org-name",
        "ghcr.io/tsviz/actions-pulse:latest"
      ],
      "type": "stdio"
    }
  }
}

3. Environment Variables Reference

Variable	Required	Description
`GITHUB_TOKEN`	✅ Yes	Personal Access Token (fine-grained recommended)
`GITHUB_ORG`	✅ Yes	Target GitHub organization to monitor (e.g., `my-company`). All API calls use this org.
`DEFAULT_REPO_FILTER`	❌ No	Comma-separated list of repos to monitor (e.g., `my-app,my-api`). See precedence rules below.
`GITHUB_API_URL`	❌ No	Custom API URL (default: `https://api.github.com`)
`GITHUB_ENTERPRISE_SLUG`	❌ No	Enterprise slug for enhanced features
`GITHUB_ENTERPRISE_URL`	❌ No	GitHub Enterprise Server API URL
`DEVOPS_CONFIG_REPO`	❌ No	Config repo name (default: `devops-config`)
`DEVOPS_CONFIG_PATH`	❌ No	Local path to config files (for mounted configs)

Repo Filter Precedence

When determining which repositories to query, ActionsPulse uses this precedence (highest to lowest):

Priority	Source	Applies To	Example
1️⃣	`repo_filter` parameter in tool call	Individual tools	`get_dora_metrics(repo_filter: "app1,app2")`
2️⃣	`inventory.yaml` repositories	`generate_devops_reports`	Repos defined in config file
3️⃣	`DEFAULT_REPO_FILTER` env var	All tools (fallback)	`DEFAULT_REPO_FILTER=my-app,my-api`
4️⃣	All org repos via GitHub API	All tools	(default if nothing set)

Tip: For quick setup without a config repo, just set DEFAULT_REPO_FILTER in the MCP Registry installer. For richer metadata (team, tier, compliance tags), use inventory.yaml.

4. Configuration Files (Optional)

By default, ActionsPulse queries ALL repositories in your organization via the GitHub API — no configuration files are required. You can filter repos dynamically using tool parameters like repo_filter.

The optional configuration files let you define persistent metadata (teams, tiers, compliance tags) for filtering and reporting. There are two approaches:

Option A: Remote Config Repository (Recommended for Teams)

Create a devops-config repository in your organization with the following structure:

Code

devops-config/
├── devops-config.yaml          # Main configuration
├── repositories/
│   └── inventory.yaml          # List of repos to monitor
├── policies/
│   ├── workflow-policies.yaml  # CI/CD standards
│   └── security-policies.yaml  # Security requirements
└── dashboards/                 # Dashboard configs

The MCP server will automatically discover and load from {org}/devops-config repo.

Option B: Local Config Files (For Development/Testing)

Mount a local config directory into the Docker container:

📄 mcp.json with config volume

JSON Config

{
  "servers": {
    "actions-pulse": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "--env-file", "/path/to/.mcp.env",
        "-e", "GITHUB_ORG=your-org-name",
        "-e", "DEVOPS_CONFIG_PATH=/app/config",
        "-v", "/path/to/your/config:/app/config:ro",
        "ghcr.io/tsviz/actions-pulse:latest"
      ],
      "type": "stdio"
    }
  }
}

Repository Inventory Example

📄 inventory.yaml

Create repositories/inventory.yaml to define which repos to monitor:

yaml

apiVersion: actions-pulse/v1
kind: RepositoryInventory
metadata:
  name: my-inventory
  version: "1.0.0"
  description: "Repositories to monitor"

spec:
  discovery:
    enabled: false  # Only monitor explicit repos

  repositories:
    - name: my-app
      team: platform
      tier: tier-1
      compliance: [SOC2]
      tags: [java, production]

    - name: my-api
      team: backend
      tier: tier-2
      tags: [nodejs, staging]

Repository Tiers Quick Reference

Tier	Priority	Uptime	Response Time	Use Case
tier-1	🔴 Critical	99.9%	< 15 min	Production, customer-facing
tier-2	🟡 Standard	99%	< 1 hour	Internal tools, staging
tier-3	🟢 Low	Best effort	< 24 hours	Demos, prototypes

See docs/ARCHITECTURE.md for complete tier definitions, compliance requirements, and alerting behavior.

5. Restart VS Code

After updating mcp.json, restart VS Code to pick up the new MCP server. You can verify the server is running by opening GitHub Copilot Chat and asking about your DevOps metrics.

🛠️ Available Tools

📊 Usage & Performance Metrics

get_actions_usage_metrics

Analyze GitHub Actions usage and billing data (basic).

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '24h' | '7d' | '30d'
- breakdown: 'repository' | 'workflow' | 'runner_type'

get_detailed_usage_metrics ⭐

GitHub Insights-style detailed usage metrics with per-workflow, per-job, per-repo, per-OS, and per-runner breakdowns.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '7d' | '30d' | '90d'
- repo_filter: Comma-separated list of repositories (optional)

get_detailed_performance_metrics ⭐

GitHub Insights-style performance metrics with avg run time, queue time, and failure rates per workflow/job/repo/OS/runner.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '7d' | '30d' | '90d'
- repo_filter: Comma-separated list of repositories (optional)

get_actions_performance_metrics

Get workflow performance analytics with P95/P99 latencies (basic).

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- repo_name: Specific repository (optional)
- workflow_id: Specific workflow (optional)
- timeframe: '1h' | '6h' | '24h' | '7d'

🏃 Runners & Cost Optimization

Enhanced Cost Detection: Reports now use a three-tier system for accurate runner cost calculation:

🎯 API Detection - Uses hosted runners API for exact machine specs

🏷️ Label Detection - Pattern matching against runner catalog

📊 Default Pricing - OS-based fallback

See Configuration Guide for details.

analyze_runner_utilization

Analyze runner utilization and efficiency.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- runner_type: 'self-hosted' | 'github-hosted' | 'all'
- include_costs: Include cost analysis (default: true)

get_actions_cache_analytics

Analyze Actions cache usage and efficiency.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- repo_name: Specific repository (optional)
- timeframe: '24h' | '7d' | '30d'

generate_cost_optimization_report

Generate actionable cost optimization recommendations.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- include_recommendations: Include actionable recommendations (default: true)
- target_savings_percentage: Target savings (5-50, default: 20)

🔍 Workflow Insights & Team Productivity

get_workflow_insights

Get workflow insights with bottleneck detection.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- repo_name: Repository name (required)
- workflow_name: Workflow name or filename (required)
- analyze_dependencies: Analyze job dependencies (default: true)

get_team_productivity_metrics

Analyze team productivity based on Actions and commit data.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- team_slug: Team slug (optional)
- include_individuals: Include individual metrics (default: false)
- timeframe: '7d' | '30d' | '90d'

get_compliance_audit_report

Generate compliance and security audit report.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- compliance_framework: 'SOC2' | 'ISO27001' | 'HIPAA' | 'PCI-DSS' | 'CUSTOM'
- include_secrets_scan: Include secret scanning (default: true, requires GHAS)

📊 DORA Metrics & Developer Experience

📈 DORA Metrics

get_dora_metrics

Get DORA metrics (Deployment Frequency, Lead Time, Change Failure Rate, Time to Restore).

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '7d' | '30d' | '90d'
- repo_filter: Comma-separated list of repositories (optional)

get_enhanced_dora_metrics

DORA metrics using actual GitHub Deployments API for maximum accuracy.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '7d' | '30d' | '90d'
- repo_filter: Comma-separated list of repositories (optional)

get_pull_request_metrics

Pull request metrics including lead time, merge rates, and size distribution.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '7d' | '30d' | '90d'
- repo_name: Specific repository (optional)
- include_stale: Include stale PR analysis (optional)

get_issue_metrics

Issue metrics including time to close, label distribution, and backlog health.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '7d' | '30d' | '90d'
- repo_name: Specific repository (optional)
- label_filter: Filter by label (optional)

get_deployment_metrics

Deployment metrics from GitHub Deployments API.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- timeframe: '7d' | '30d' | '90d'
- environment: Filter by environment (optional)
- repo_filter: Comma-separated list of repositories (optional)

get_environment_metrics

Analyze GitHub environment configurations including protection rules.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- repo_filter: Comma-separated list of repositories (optional)

get_discussion_metrics

GitHub Discussions metrics including answer rates and engagement.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- repo_name: Specific repository (optional)
- timeframe: '7d' | '30d' | '90d'

get_merge_queue_metrics

Merge queue usage and adoption across repositories.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- repo_name: Specific repository (optional)

🏷️ Custom Properties

📋 Custom Properties Tools

get_org_custom_properties

List all custom property definitions for an organization.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)

get_custom_properties_analytics

Analyze custom property usage and coverage across repositories.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)

get_repos_by_property

Find repositories by custom property value.

Code

Parameters:
- org_name: Organization name (optional if GITHUB_ORG is set)
- property_name: Custom property name (e.g., team, tier, compliance)
- property_value: Property value to filter by (optional)

🏢 Enterprise Features (Optional)

⚙️ Enterprise configuration

If you have GitHub Enterprise, you can enable enhanced features by adding:

bash

GITHUB_ENTERPRISE_SLUG=your-enterprise-slug

This enables:

Cross-organization billing aggregation
Enterprise-wide runner pools
Consolidated audit logs

🔧 Development

🛠️ Build and run commands

Build locally

Terminal

npm install
npm run build
docker build -t actions-pulse:local .

Run locally (without Docker)

server.ts

export GITHUB_TOKEN=ghp_your_token
export GITHUB_ORG=your-org
npm start

🤖 Automating DevOps Reports with GitHub Actions

You can automate DevOps report generation using GitHub Copilot CLI with ActionsPulse MCP server in a GitHub Actions workflow. This enables scheduled weekly reports, on-demand analysis, and automatic issue creation with insights.

How It Works

Install Copilot CLI in the workflow runner
Configure ActionsPulse MCP with your GitHub token
Run Copilot with a prompt to generate reports using MCP tools
Create issues with the generated report

Example Workflow

See .github/workflows/weekly-devops-report.yml for a complete working example.

📄 Key workflow steps

yaml

- name: Setup MCP config
  env:
    GITHUB_TOKEN: ${{ secrets.GH_PAT_DEVOPS }}
  run: |
    mkdir -p ~/.copilot
    printf '%s\n' '{
      "mcpServers": {
        "actions-pulse": {
          "command": "docker",
          "args": ["run", "-i", "--rm", "-e", "GITHUB_TOKEN='"$GITHUB_TOKEN"'", "-e", "GITHUB_ORG=your-org", "ghcr.io/tsviz/actions-pulse:latest"],
          "tools": ["*"]
        }
      }
    }' > ~/.copilot/mcp-config.json

- name: Generate DevOps Report
  env:
    GITHUB_TOKEN: ${{ secrets.GH_PAT_DEVOPS }}
    GH_TOKEN: ${{ secrets.GH_PAT_DEVOPS }}
  run: |
    copilot --yolo \
      --disable-builtin-mcps \
      --additional-mcp-config @$HOME/.copilot/mcp-config.json \
      --prompt "Use the actions-pulse MCP tools to generate a DevOps report..."

Key Copilot CLI Flags

Flag	Description
`--yolo`	Auto-approve all tool calls (no confirmation prompts)
`--disable-builtin-mcps`	Disable built-in MCP servers (use only custom ones)
`--additional-mcp-config @<file>`	Load MCP server config from file (use `$HOME` not `~`)
`--prompt "<text>"`	The prompt for Copilot to execute

Tips

Use $HOME instead of ~ in the config path — tilde is not expanded in @file arguments
Embed the token in args — the env block in MCP config doesn't pass variables to Docker
Include "tools": ["*"] in your MCP config — this field is required

📚 Documentation

Document	Description
Quick Start	Get up and running in 5 minutes
Configuration Guide	Complete configuration reference
Architecture	System design and tier definitions

Example Configurations

Ready-to-use configuration examples are available in the examples/ directory:

File	Description
mcp-docker.json	VS Code MCP config using Docker
mcp-local.json	VS Code MCP config for local development
mcp-envfile.json	VS Code MCP config using environment file
.env.example	Environment variables template
inventory.yaml	Repository inventory example
devops-config.yaml	DevOps observer configuration
docker-compose.yml	Docker Compose deployment

�📄 License

MIT