原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Aegis MCP

作者:cleburn版本 0.1.15i★ –i在你的电脑上运行
注册名称io.github.cleburn/aegis-mcp

安装

概览

作者提供的说明(英文原文)

Runtime governance enforcement for AI agents. Zero token overhead.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

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",
        "aegis-mcp-server"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add aegis -- npx -y aegis-mcp-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "aegis": {
      "command": "npx",
      "args": [
        "-y",
        "aegis-mcp-server"
      ]
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "aegis": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "aegis-mcp-server"
      ]
    }
  }
}

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。

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 cleburn 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18349 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18349 个服务器的 3% 更新
  • 基础检查结果等于或优于此分类中其他 18349 个服务器的 100%

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。

常见问题

Aegis MCP 安全吗?

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。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.15)于8个月前进入注册中心。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, arr-mcp

替代选择

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

arr-mcp

作者:bardesss

One server, 40 tools, the whole media stack: *arrs, Jellyfin, Plex, Seerr, Cleanuparr, downloaders

在你的电脑上运行今天更新
安装

作者的 README

打开 README

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。

aegis-mcp-server

MCP enforcement layer for the [Aegis](https://github.com/cleburn/aegis-spec) agent governance specification.

Policy at the root. Enforcement at runtime. Accountability on every action.

What It Does

aegis-mcp-server is an MCP server that validates every agent action against your .agentpolicy/ files before it happens. Path permissions, content scanning, role boundaries, quality gates — all enforced at runtime with zero token overhead to the agent.

The agent never loads your governance files. The MCP server reads them into its own process memory and validates silently. The agent calls governed tools and gets back either a success or a blocked response with the specific reason.

Quick Start

# Install globally

npm install -g aegis-mcp-server

If you generated your policy with aegis-cli, the .mcp.json connection config is already in your project root. Just install the MCP and open your agent — it connects automatically.

First Prompt

When starting a new agent session in a governed project, use this as your first prompt:

Call aegis_policy_summary now. This is your governance contract — it defines your

role, your boundaries, and which tools to use. Do not take any action until you have called this tool and received confirmation from the user to proceed.

For initial builds, the Aegis CLI generates a custom handoff prompt tailored to your project — use that instead.

How It Works

Universal Mode (Default)

The MCP starts without a pre-assigned role. When the agent calls aegis_policy_summary, it receives the list of available roles — including the built-in construction role and all specialist roles from .agentpolicy/roles/. The agent presents them to the user, the user picks, and the agent calls aegis_select_role to lock in. All enforcement uses the selected role for the rest of the session.

This is the default behavior — no configuration needed beyond the .mcp.json that aegis init creates automatically.

Construction Mode

The construction role is always available for initial builds and major restructuring. When selected:

  • The agent has full repository access (all paths writable and readable)
  • The .agentpolicy/ files serve as the blueprint — the agent reads constitution, governance, and role files to understand the project's architecture, conventions, and quality standards
  • File operations run through native tools rather than governed tools, for speed
  • The MCP logs the construction session start to state/overrides.jsonl with a timestamp and human_confirmed: true
  • When the build is complete, the agent calls aegis_complete_task to run quality gates and close construction mode — the closing timestamp is logged alongside the opening entry
  • All future sessions after construction should select a specialist role for governed operations

Construction mode is not a bypass — the agent still follows the governance files as its blueprint. It's a speed optimization for greenfield builds where enforcing write restrictions on every file would be counterproductive.

Fixed Mode

If you know which role to assign at startup:

{

"mcpServers": { "aegis": { "command": "aegis-mcp", "args": ["--project", ".", "--role", "backend"] } } }

The MCP locks to that role immediately. aegis_policy_summary returns the role's boundaries directly, skipping role selection.

Tools

ToolWhat it doesToken cost
aegis_policy_summaryRole boundaries and governance summary (or available roles in universal mode)~200 tokens
aegis_select_roleSelect a role (including construction) in universal modeTiny
aegis_check_permissionsPre-check if an operation is allowedTiny
aegis_write_fileGoverned write with path + content validationSame as a normal write
aegis_read_fileGoverned read with path validationSame as a normal read
aegis_delete_fileGoverned delete with path validationTiny
aegis_executeGoverned command executionCommand output only
aegis_complete_taskRun quality gates and close construction mode if activeGate results only
aegis_request_overrideExecute a blocked action after human confirmationTiny

Zero Token Overhead

Traditional approach: load governance files into the agent's context window. Token cost scales with policy complexity.

Aegis MCP approach: the server loads policy into its own process memory. The agent calls tools and gets structured results. A project with 200 lines of governance has the same token cost as one with 20 lines. The complexity is absorbed by the server, not the agent.

Enforcement

  • Governance boundaries — writable, read_only, forbidden path lists
  • Role scoping — agents confined to their role's writable and readable paths
  • Sensitive pattern detection — content scanned against governance-defined regex patterns (content only, not path-based)
  • Cross-domain boundaries — imports validated against shared interface rules
  • Quality gate validation — pre_commit flags mapped to build_commands and executed
  • Override logging — every blocked action logged to append-only overrides.jsonl
  • Immutable policies — designated rules that cannot be overridden, ever
  • Construction session logging — start and end timestamps for initial builds

Override Protocol

When an action is blocked and the governance override behavior is warn_confirm_and_log:

  1. The blocked response includes an override_token and the specific policy violated
  2. The agent presents the violation to the user
  3. If the user confirms, the agent calls aegis_request_override with the token and the user's rationale
  4. The action proceeds — the override is logged with human_confirmed: true
  5. Normal governance resumes immediately — the override is a one-time exception

Immutable policies (e.g., HIPAA compliance, ITAR data sovereignty, audit completeness) return override_available: false and cannot be overridden. The user must modify the governance through aegis init.

Consent-Based Governance

The Aegis MCP does not override the agent's native directives. It introduces itself through tool descriptions, explains why governance is active, and asks the agent to seek user permission to route write operations through Aegis tools. The user's authority is the enforcement mechanism.

Native tools for reading, searching, and exploring the codebase work fine without governance gating. Only write, delete, and execute operations benefit from routing through Aegis.

Architecture

Agent ──→ aegis-mcp-server ──→ File System

│ ├── Loads .agentpolicy/ into process memory (once) ├── Watches for policy changes (auto-reload) ├── Validates every tool call against policy ├── Returns success or blocked with override option └── Logs all enforcement decisions to overrides.jsonl

Three artifacts, one governance framework:

  • aegis-spec — The governance standard
  • aegis-cli — Generates the governance
  • aegis-mcp-server — Enforces the governance

License

MIT

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