Gha Intel

Workflow timing analysis, configuration audit and billing insight for GitHub Actions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": [
        "-y",
        "gha-intel"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

An MCP server for GitHub Actions workflow timing analysis, configuration auditing, and billing insights.

Tools

Tool	Description
`list_workflow_performance`	Computes average, min, max, and p95 duration statistics for recent workflow runs.
`analyze_workflow_config`	Evaluates workflow YAML for caching, parallelism, concurrency, artifacts, checkout depth, timeouts, runner pinning, Docker caching, and triggers.
`get_billing_usage`	Returns Actions billing minutes and estimated cost by runner type, plus per-repo cache utilisation.

Requirements

Node.js >= 18 (uses native fetch)
A GitHub personal access token with repo and read:org scopes

Setup

Three transport modes are available. Choose whichever fits your deployment:

Option A: stdio (local, recommended for desktop clients)

The server runs as a subprocess of the MCP client over stdin/stdout. No network port required.

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) %APPDATA%\Claude\claude_desktop_config.json (Windows)

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Claude Code

Terminal

claude mcp add gha-intel -e GITHUB_TOKEN=ghp_your_token -- npx -y @barissozudogru/gha-intel-mcp

Cursor

~/.cursor/mcp.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Windsurf

~/.codeium/windsurf/mcp_config.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

VS Code + Copilot

.vscode/mcp.json (workspace) or user settings

config.json

{
  "servers": {
    "gha-intel": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add:

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Continue.dev

~/.continue/config.yaml

yaml

mcpServers:
  - name: gha-intel
    command: npx
    args:
      - -y
      - "@barissozudogru/gha-intel-mcp"
    env:
      GITHUB_TOKEN: ghp_your_token

Zed

~/.config/zed/settings.json

config.json

{
  "context_servers": {
    "gha-intel": {
      "command": {
        "path": "npx",
        "args": ["-y", "@barissozudogru/gha-intel-mcp"],
        "env": {
          "GITHUB_TOKEN": "ghp_your_token"
        }
      }
    }
  }
}

JetBrains (IntelliJ, PyCharm, WebStorm, etc.)

Go to Settings > Tools > AI Assistant > MCP and add:

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Option B: HTTP (remote or cloud clients)

Start the server in HTTP mode and point clients at the endpoint:

bash

GITHUB_TOKEN=ghp_your_token npx @barissozudogru/gha-intel-mcp --http
# Server listens on http://0.0.0.0:3000/mcp
# Health check: http://localhost:3000/health

Or set via environment variable instead of the flag:

bash

TRANSPORT=http PORT=3000 GITHUB_TOKEN=ghp_your_token npx @barissozudogru/gha-intel-mcp

Cursor (HTTP)

~/.cursor/mcp.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "url": "http://localhost:3000/mcp"
    }
  }
}

VS Code + Copilot (HTTP)

.vscode/mcp.json

config.json

{
  "servers": {
    "gha-intel": {
      "type": "http",
      "url": "http://localhost:3000/mcp"
    }
  }
}

Windsurf (HTTP)

~/.codeium/windsurf/mcp_config.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "serverUrl": "http://localhost:3000/mcp"
    }
  }
}

Continue.dev (HTTP)

~/.continue/config.yaml

yaml

mcpServers:
  - name: gha-intel
    url: http://localhost:3000/mcp

Option C: Docker

Terminal

docker build -t gha-intel-mcp .
docker run -p 3000:3000 -e GITHUB_TOKEN=ghp_your_token gha-intel-mcp

The container starts in HTTP mode by default. Point your client at http://localhost:3000/mcp.

Tool Reference

list_workflow_performance

Fetch real run timing data and compute job-level statistics.

Parameter	Type	Required	Description
`owner`	string	yes	GitHub owner (user or org)
`repo`	string	yes	Repository name
`workflow_id`	string	yes	Workflow file name (e.g. `ci.yml`) or numeric ID
`count`	number	no	Number of recent runs to analyse (default: 10, max: 100)

Output: Per-job and per-step timing stats (avg, min, max, p95), overall run timing, and a list of recent run conclusions.

analyze_workflow_config

Parse and audit a workflow YAML for optimisation opportunities.

Parameter	Type	Required	Description
`workflow_content`	string	yes	Full YAML content of the workflow file

Output: Findings grouped by severity (critical / warning / info / good) across nine categories, each with a concrete recommendation.

Categories analysed: Dependency caching, matrix strategy and fail-fast, concurrency groups and cancel-in-progress, artifact uploads, git checkout depth, job timeout-minutes, runner version pinning, Docker layer caching, and trigger path filters.

get_billing_usage

Retrieve billing and cache consumption data.

Parameter	Type	Required	Description
`owner`	string	yes	GitHub username or organisation
`repo`	string	no	Repository name for repo-scoped cache and run stats

Output: Total minutes used, plan utilisation, estimated cost broken down by runner type (Ubuntu / macOS / Windows / large runners), plus per-repo cache size and utilisation percentage.

Environment Variables

Variable	Required	Description
`GITHUB_TOKEN`	yes	GitHub personal access token. Requires `repo` scope for private repos, `read:org` for org billing.
`TRANSPORT`	no	Set to `http` to enable HTTP mode (default: stdio).
`PORT`	no	HTTP port when running in HTTP mode (default: `3000`).

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gha Intel

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "gha-intel": { "command": "npx", "args": ["-y", "gha-intel"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/gha-intel?style=directory)](https://allmcps.com/mcp/gha-intel)

HTML Embed

<a href="https://allmcps.com/mcp/gha-intel"><img src="https://allmcps.com/api/badge/gha-intel?style=directory" alt="Gha Intel on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

AllMCPs Server

The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge and attach your website — proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Gha Intel →Install in Claude Desktop Install in Cursor Install in VS Code

Gha Intel

Workflow timing analysis, configuration audit and billing insight for GitHub Actions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": [
        "-y",
        "gha-intel"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

An MCP server for GitHub Actions workflow timing analysis, configuration auditing, and billing insights.

Tools

Tool	Description
`list_workflow_performance`	Computes average, min, max, and p95 duration statistics for recent workflow runs.
`analyze_workflow_config`	Evaluates workflow YAML for caching, parallelism, concurrency, artifacts, checkout depth, timeouts, runner pinning, Docker caching, and triggers.
`get_billing_usage`	Returns Actions billing minutes and estimated cost by runner type, plus per-repo cache utilisation.

Requirements

Node.js >= 18 (uses native fetch)
A GitHub personal access token with repo and read:org scopes

Setup

Three transport modes are available. Choose whichever fits your deployment:

Option A: stdio (local, recommended for desktop clients)

The server runs as a subprocess of the MCP client over stdin/stdout. No network port required.

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) %APPDATA%\Claude\claude_desktop_config.json (Windows)

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Claude Code

Terminal

claude mcp add gha-intel -e GITHUB_TOKEN=ghp_your_token -- npx -y @barissozudogru/gha-intel-mcp

Cursor

~/.cursor/mcp.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Windsurf

~/.codeium/windsurf/mcp_config.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

VS Code + Copilot

.vscode/mcp.json (workspace) or user settings

config.json

{
  "servers": {
    "gha-intel": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add:

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Continue.dev

~/.continue/config.yaml

yaml

mcpServers:
  - name: gha-intel
    command: npx
    args:
      - -y
      - "@barissozudogru/gha-intel-mcp"
    env:
      GITHUB_TOKEN: ghp_your_token

Zed

~/.config/zed/settings.json

config.json

{
  "context_servers": {
    "gha-intel": {
      "command": {
        "path": "npx",
        "args": ["-y", "@barissozudogru/gha-intel-mcp"],
        "env": {
          "GITHUB_TOKEN": "ghp_your_token"
        }
      }
    }
  }
}

JetBrains (IntelliJ, PyCharm, WebStorm, etc.)

Go to Settings > Tools > AI Assistant > MCP and add:

config.json

{
  "mcpServers": {
    "gha-intel": {
      "command": "npx",
      "args": ["-y", "@barissozudogru/gha-intel-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

Option B: HTTP (remote or cloud clients)

Start the server in HTTP mode and point clients at the endpoint:

bash

GITHUB_TOKEN=ghp_your_token npx @barissozudogru/gha-intel-mcp --http
# Server listens on http://0.0.0.0:3000/mcp
# Health check: http://localhost:3000/health

Or set via environment variable instead of the flag:

bash

TRANSPORT=http PORT=3000 GITHUB_TOKEN=ghp_your_token npx @barissozudogru/gha-intel-mcp

Cursor (HTTP)

~/.cursor/mcp.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "url": "http://localhost:3000/mcp"
    }
  }
}

VS Code + Copilot (HTTP)

.vscode/mcp.json

config.json

{
  "servers": {
    "gha-intel": {
      "type": "http",
      "url": "http://localhost:3000/mcp"
    }
  }
}

Windsurf (HTTP)

~/.codeium/windsurf/mcp_config.json

config.json

{
  "mcpServers": {
    "gha-intel": {
      "serverUrl": "http://localhost:3000/mcp"
    }
  }
}

Continue.dev (HTTP)

~/.continue/config.yaml

yaml

mcpServers:
  - name: gha-intel
    url: http://localhost:3000/mcp

Option C: Docker

Terminal

docker build -t gha-intel-mcp .
docker run -p 3000:3000 -e GITHUB_TOKEN=ghp_your_token gha-intel-mcp

The container starts in HTTP mode by default. Point your client at http://localhost:3000/mcp.

Tool Reference

list_workflow_performance

Fetch real run timing data and compute job-level statistics.

Parameter	Type	Required	Description
`owner`	string	yes	GitHub owner (user or org)
`repo`	string	yes	Repository name
`workflow_id`	string	yes	Workflow file name (e.g. `ci.yml`) or numeric ID
`count`	number	no	Number of recent runs to analyse (default: 10, max: 100)

Output: Per-job and per-step timing stats (avg, min, max, p95), overall run timing, and a list of recent run conclusions.

analyze_workflow_config

Parse and audit a workflow YAML for optimisation opportunities.

Parameter	Type	Required	Description
`workflow_content`	string	yes	Full YAML content of the workflow file

Output: Findings grouped by severity (critical / warning / info / good) across nine categories, each with a concrete recommendation.

get_billing_usage

Retrieve billing and cache consumption data.

Parameter	Type	Required	Description
`owner`	string	yes	GitHub username or organisation
`repo`	string	no	Repository name for repo-scoped cache and run stats

Output: Total minutes used, plan utilisation, estimated cost broken down by runner type (Ubuntu / macOS / Windows / large runners), plus per-repo cache size and utilisation percentage.

Environment Variables

Variable	Required	Description
`GITHUB_TOKEN`	yes	GitHub personal access token. Requires `repo` scope for private repos, `read:org` for org billing.
`TRANSPORT`	no	Set to `http` to enable HTTP mode (default: stdio).
`PORT`	no	HTTP port when running in HTTP mode (default: `3000`).

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gha Intel

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "gha-intel": { "command": "npx", "args": ["-y", "gha-intel"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/gha-intel?style=directory)](https://allmcps.com/mcp/gha-intel)

HTML Embed

<a href="https://allmcps.com/mcp/gha-intel"><img src="https://allmcps.com/api/badge/gha-intel?style=directory" alt="Gha Intel on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Gha Intel →Install in Claude Desktop Install in Cursor Install in VS Code