Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Credential isolation for AI agents. Inject secrets at the network boundary.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
AEGIS_MASTER_KEY, AEGIS_SALT, AEGIS_DATA_DIR, AEGIS_PORT, AEGIS_LOG_LEVEL, AEGIS_LOG_FORMAT, AEGIS_VAULT, AEGIS_REQUIRE_AGENT_AUTH, AEGIS_POLICY_MODE, AEGIS_POLICIES_DIR, AEGIS_METRICS标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"aegis": {
"command": "npx",
"args": [
"-y",
"@getaegis/cli"
],
"env": {
"AEGIS_MASTER_KEY": "your-value",
"AEGIS_SALT": "your-value",
"AEGIS_DATA_DIR": "your-value",
"AEGIS_PORT": "your-value",
"AEGIS_LOG_LEVEL": "your-value",
"AEGIS_LOG_FORMAT": "your-value",
"AEGIS_VAULT": "your-value",
"AEGIS_REQUIRE_AGENT_AUTH": "your-value",
"AEGIS_POLICY_MODE": "your-value",
"AEGIS_POLICIES_DIR": "your-value",
"AEGIS_METRICS": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add aegis --env AEGIS_MASTER_KEY=your-value --env AEGIS_SALT=your-value --env AEGIS_DATA_DIR=your-value --env AEGIS_PORT=your-value --env AEGIS_LOG_LEVEL=your-value --env AEGIS_LOG_FORMAT=your-value --env AEGIS_VAULT=your-value --env AEGIS_REQUIRE_AGENT_AUTH=your-value --env AEGIS_POLICY_MODE=your-value --env AEGIS_POLICIES_DIR=your-value --env AEGIS_METRICS=your-value -- npx -y @getaegis/cli运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"aegis": {
"command": "npx",
"args": [
"-y",
"@getaegis/cli"
],
"env": {
"AEGIS_MASTER_KEY": "your-value",
"AEGIS_SALT": "your-value",
"AEGIS_DATA_DIR": "your-value",
"AEGIS_PORT": "your-value",
"AEGIS_LOG_LEVEL": "your-value",
"AEGIS_LOG_FORMAT": "your-value",
"AEGIS_VAULT": "your-value",
"AEGIS_REQUIRE_AGENT_AUTH": "your-value",
"AEGIS_POLICY_MODE": "your-value",
"AEGIS_POLICIES_DIR": "your-value",
"AEGIS_METRICS": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"aegis": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@getaegis/cli"
],
"env": {
"AEGIS_MASTER_KEY": "your-value",
"AEGIS_SALT": "your-value",
"AEGIS_DATA_DIR": "your-value",
"AEGIS_PORT": "your-value",
"AEGIS_LOG_LEVEL": "your-value",
"AEGIS_LOG_FORMAT": "your-value",
"AEGIS_VAULT": "your-value",
"AEGIS_REQUIRE_AGENT_AUTH": "your-value",
"AEGIS_POLICY_MODE": "your-value",
"AEGIS_POLICIES_DIR": "your-value",
"AEGIS_METRICS": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
AEGIS_DATA_DIR envAEGIS_PORT envAEGIS_LOG_LEVEL envAEGIS_LOG_FORMAT envAEGIS_VAULT envAEGIS_REQUIRE_AGENT_AUTH envAEGIS_POLICY_MODE envAEGIS_POLICIES_DIR envAEGIS_METRICS env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 getaegis 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:AEGIS_MASTER_KEY, AEGIS_SALT
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.5)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Drive a BenchPod hardware-in-the-loop bench: power, flash, UART, I2C, CAN, analog and logic.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Stop putting API keys where AI agents can read them.
Aegis is a local-first credential isolation proxy for AI agents. It sits between your agent and the APIs it calls — injecting secrets at the network boundary so the agent never sees, stores, or transmits real credentials.
AI agents (Claude, GPT, Cursor, custom bots) increasingly call real APIs — Slack, GitHub, Stripe, databases. The current pattern is dangerous:
evil.comAegis solves all four. Your agent makes HTTP calls through a local proxy. Aegis handles authentication, enforces domain restrictions, and logs everything.
# Install
npm install -g @getaegis/cli
aegis init
aegis vault add \ --name slack-bot \ --service slack \ --secret "[PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]" \ --domains slack.com
aegis gate --no-agent-auth
curl http://localhost:3100/slack/api/auth.test \ -H "X-Target-Host: slack.com"
# Create an agent identity
aegis agent add --name "my-agent"
aegis agent grant --agent "my-agent" --credential "slack-bot"
aegis gate
curl http://localhost:3100/slack/api/auth.test \ -H "X-Target-Host: slack.com" \ -H "X-Aegis-Agent: aegis_a1b2c3d4..."
Aegis is a first-class MCP server. Any MCP-compatible AI agent can use it natively — no HTTP calls needed.
Before (plaintext key in config):
{
"mcpServers": { "slack": { "command": "node", "args": ["slack-mcp-server"], "env": { "SLACK_TOKEN": "[PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]" } } } }
After (Aegis — no key visible):
{
"mcpServers": { "aegis": { "command": "npx", "args": ["-y", "@getaegis/cli", "mcp", "serve"] } } }
Generate the config for your AI host:
aegis mcp config claude # Claude Desktop
aegis mcp config cursor # Cursor aegis mcp config vscode # VS Code aegis mcp config cline # Cline aegis mcp config windsurf # Windsurf
The MCP server exposes three tools:
| Tool | Description |
|---|---|
aegis_proxy_request | Make an authenticated API call (provide service + path, Aegis injects credentials) |
aegis_list_services | List available services (names only, never secrets) |
aegis_health | Check Aegis status |
The MCP server replicates the full Gate security pipeline: domain guard, agent auth, body inspection, rate limiting, audit logging.
| Feature | Description |
|---|---|
| Encrypted Vault | AES-256-GCM encrypted credential storage with PBKDF2 key derivation |
| HTTP Proxy (Gate) | Transparent credential injection — agent hits localhost:3100/{service}/path |
| Domain Guard | Every outbound request checked against credential allowlists. No bypass |
| Audit Ledger | Every request (allowed and blocked) logged with full context |
| Agent Identity | Per-agent tokens, credential scoping, and rate limits |
| Policy Engine | Declarative YAML policies — method, path, rate-limit, time-of-day restrictions |
| Body Inspector | Outbound request bodies scanned for credential-like patterns |
| MCP Server | Native Model Context Protocol for Claude, Cursor, VS Code, Windsurf, Cline |
| Web Dashboard | Real-time monitoring UI with WebSocket live feed |
| Prometheus Metrics | /_aegis/metrics endpoint for Grafana dashboards |
| Webhook Alerts | HMAC-signed notifications for blocked requests, expiring credentials |
| RBAC | Admin, operator, viewer roles with 16 granular permissions |
| Multi-Vault | Separate vaults for dev/staging/prod with isolated encryption keys |
| Shamir's Secret Sharing | M-of-N key splitting for team master key management |
| Cross-Platform Key Storage | OS keychain by default (macOS, Windows, Linux) with file fallback |
| TLS Support | Optional HTTPS on Gate with cert/key configuration |
| Configuration File | aegis.config.yaml with env var overrides and CLI flag overrides |
Step-by-step guides with config files and policies included:
.env files | Vault/Doppler | Infisical | Aegis | |
|---|---|---|---|---|
| Agent sees raw key | Yes | Yes (after fetch) | Yes (after fetch) | No — never |
| Domain restrictions | No | No | No | Yes |
| MCP-native | No | No | Adding | Yes |
| Local-first | Yes | No | No | Yes |
| Setup | 10 sec | 30+ min | 15+ min | ~2 min |
See full comparison for detailed breakdowns against each approach.
| Document | Description |
|---|---|
| Usage Guide | Full reference: CLI commands, configuration, RBAC, policies, webhooks, troubleshooting |
| Security Architecture | Trust boundaries, crypto pipeline, data flow diagrams |
| Threat Model | STRIDE analysis — 28 threats, mitigations, residual risks |
| Comparison | Detailed comparison with .env, Vault, Doppler, Infisical |
| FAQ | Common questions and objections |
| Roadmap | Feature roadmap |
| Contributing | Code style, PR process, architecture overview |
# npm
npm install -g @getaegis/cli
brew tap getaegis/aegis && brew install aegis
docker run ghcr.io/getaegis/aegis --help
Requires Node.js ≥ 20 — check with node -v
git clone https://github.com/getaegis/aegis.git
cd aegis yarn install yarn build yarn test
See CONTRIBUTING.md for code style, PR process, and architecture overview.
Apache 2.0