gha-intel-mcp
用于 GitHub Actions 工作流耗时分析、配置审计和计费洞察的 MCP 服务器。
工具
工具 | 描述 |
| 计算最近工作流运行的平均、最小、最大和 p95 耗时统计。 |
| 评估工作流 YAML 中的缓存、并行度、并发、缓存、checkout 深度、超时、runner 固定、Docker 缓存和触发条件。 |
| 按 runner 类型返回 Actions 计费分钟数和估算成本,并给出各仓库的缓存用量。 |
Related MCP server: copilot-usage-mcp
环境要求
Node.js >= 18(使用原生
fetch)拥有
repo和read:org权限的 GitHub 个人访问令牌
配置
提供三种传输模式,你可以选择适合自己部署情况的一种:
选项 A:stdio(本地,桌面客户端推荐)
服务器作为 MCP 客户端的子进程,通过 stdin/stdout 运行,无需网络端口。
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
%APPDATA%\Claude\claude_desktop_config.json (Windows)
{
"mcpServers": {
"gha-intel": {
"command": "npx",
"args": ["-y", "@barissozudogru/gha-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}Claude Code
claude mcp add gha-intel -e GITHUB_TOKEN=ghp_your_token -- npx -y @barissozudogru/gha-intel-mcpCursor
~/.cursor/mcp.json
{
"mcpServers": {
"gha-intel": {
"command": "npx",
"args": ["-y", "@barissozudogru/gha-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}Windsurf
~/.codeium/windsurf/mp_config.json
{
"mcpServers": {
"gha-intel": {
"command": "npx",
"args": ["-y", "@barissozudogru/gha-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}VS Code + Copilot
.vscode/mp.json(工作区)或用户设置
{
"servers": {
"gha-intel": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@barissozudogru/gha-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}C line
打开 C line 设置,进入 MCP Servers,然后添加:
{
"mcpServers": {
"gha-intel": {
"command": "npx",
"args": ["-y", "@barissozudogru/gha-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}Continue.dev
~/.continue/onfig.yaml
mcpServers:
- name: gha-intel
command: npx
args:
- -y
- "@barissozudogru/gha-intel-mcp"
env:
GITHUB_TOKEN: ghp_your_tokenZed
~/.config/zed/settings.json
{
"context_servers": {
"gha-intel": {
"command": {
"path": "npx",
"args": ["-y", "@barissozudogru/gha-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}
}JetBrains (IntelliJ, PyCharm, WebStorm? 等)
前往 Settings > Tools > AI Assistant > MCP 并添加:
{
"mcpServers": {
"gha-intel": {
"command": "npx",
"args": ["-y", "@barissozudogru/gha-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}模式 B:HTTP(远程或云端客户端)
以 HTTP 模式启动服务器,并将客户端指向端点:
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也可以通过环境变量进行设置,而不使用该参数:
TRANSPORT=http PORT=3000 GITHUB_TOKEN=ghp_your_token npx @barissozudogru/gha-intel-mcpCursor (HTTP)
~/.cursor/mp_json
{
"mcpServers": {
"gha-intel": {
"url": "http://localhost:3000/mcp"
}
}
}Code Code + Copilot (HTTP)
.vscode/mp_json
{
"servers": {
"gha-intel": {
"type": "http",
"url": "http://localhost:3000/mcp"
}
}
}Windsurf (HTTP)
~/.codeium/windsurf/mp_config.json
{
"mcpServers": {
"gha-intel": {
"serverUrl": "http://localhost:3000/mcp"
}
}
}Continue.dev (HTTP)
~/.continue/config.yaml
mcpServers:
- name: gha-intel
url: http://localhost:3000/mcp模式 C:Docker
docker build -t gha-intel-mcp .
docker run -p 3000:3000 -e GITHUB_TOKEN=ghp_your_token gha-intel-mcp容器默认以 HTTP 模式启动。请将客户端指向 http://localhost:3000/mcp。
工具参考
list_workflow_perforance
Maintenance
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