World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
作者提供的说明(英文原文)
Scan, enumerate, and risk-score every MCP server configured on your machine.
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。
通过 2/2 项检查 · 在你的电脑上运行
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"audit": {
"command": "uvx",
"args": [
"mcp-audits",
"serve"
]
}
}
}用 mcp-audit 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 mcp-audit,或回答中出现 mcp-audit 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 mcp-audit
mcp-audit 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 mcp-audit 的应用
B · 其他 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add audit -- uvx mcp-audits serve应能看到 mcp-audit 在列表中并显示已连接
用 mcp-audit 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 mcp-audit,或回答中出现 mcp-audit 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
用 mcp-audit 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 mcp-audit,或回答中出现 mcp-audit 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
用 mcp-audit 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 mcp-audit,或回答中出现 mcp-audit 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add audit -- uvx mcp-audits serveClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"audit": {
"command": "uvx",
"args": [
"mcp-audits",
"serve"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"audit": {
"command": "uvx",
"args": [
"mcp-audits",
"serve"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"audit": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-audits",
"serve"
]
}
}
}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。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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11日
注册名称已通过 GitHub 账户 saagpatel 验证,该账户拥有此仓库
代码最后更新于昨天
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
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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 2 项适用的基础检查中通过了 2 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。
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 仓库最后更新于昨天,最新版本(3.0.0)于9天前进入注册中心。
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 Python (uv)。
同一分类中有:World Monitor, Claude Flow, Tldraw
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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。
See what your AI tools' MCP servers can reach.
MCPAudit reviews MCP server configuration and, when asked, lists the tools a server exposes. It highlights declared capabilities, instruction-shaped text heuristics, and changes from a saved pin so you can decide what to investigate. Findings are review signals: a high score means broader capability exposure, not that a server is malicious or unsafe.
[!IMPORTANT]
The package is
mcp-audits; the command ismcp-audit.
The default check is static.
check --connectand--connect-allcan start
configured local programs or contact configured endpoints. Legacy
scannever
connects: it refuses connecting forms with exit 2 before discovery. Package
verification, downloads, and LLM analysis are separate opt-in operations.
MCPAudit does not edit configs, and reports environment variable key names,
never their values. Review generated reports before sharing them.
mcp-audit # static review of supported configs
mcp-audit check --config ./mcp.json # review this file only; no connections mcp-audit demo # see a bundled synthetic example mcp-audit explain MCP007 # explain a finding offline; no config reads
Install with uv:
uv tool install mcp-audits
Or run without installing:
uvx --from mcp-audits mcp-audit demo
Start with the suggested action and inspect the named capability or evidence. For example, if a filesystem server can write broadly, restrict its configured directory and review the report again. Pattern-based instruction checks can miss reworded or obfuscated text and can also need human review. A clean report is not a safety certificate.
Review the server's configured access, narrow it if needed, then run the check again.
Use Start here for a guided walkthrough and Reading results to interpret scores, findings, and coverage. How it works explains the check boundary.
Each rule's meaning, possible consequences, manual fix and confidence limits are in the finding reference; mcp-audit explain MCP013 prints the same entry offline. Explicit --config sources are labeled "explicit file; parsed as Claude-style config"; the parser identity does not establish which client uses that file.
Static tool metadata checks also flag malformed MCP header annotations, credential parameters mapped to headers, external schema references and unexpected icon sources. These checks inspect served metadata without fetching schemas or icons.
MCPAudit can write SARIF and evaluate local policy files. Begin with config-only CI, then enable connected checks only where the workflow should start those servers. See the CI guide and policy examples.
For a pinned release example, the composite Action can upload SARIF to GitHub code scanning:
- uses: saagpatel/MCPAudit@v3.0.0
The release checklist calls out Action references so maintainers can update examples when a new public release is available. Review the action's permissions and inputs before enabling it in a repository.
| Goal | Starting point | What it does |
|---|---|---|
| Learn the output | mcp-audit demo | Uses bundled synthetic input |
| Review one file | mcp-audit check --config FILE | Static check of the selected config |
| Make a share card | mcp-audit checkup --config FILE --card checkup.html | Writes a local counts-only HTML Preview |
| See discovered sources | mcp-audit inspect | Lists identities and source status |
| Inspect one server | mcp-audit check --connect --server ID | Connects to one unambiguous identity |
| Inspect a fleet | mcp-audit check --connect-all | Connects to workstation servers; add --connect-project-configs for projects |
| Automate a policy | mcp-audit check --policy FILE | Evaluates a local policy |
| Review a saved pin | mcp-audit pin --status | Shows baseline status; pin is the visible alias for baseline pin |
The server ID is CLIENT:SCOPE:NAME; use the exact identity from inspect to avoid ambiguous selections. Connected checks can start configured local commands or contact their endpoints.
checkup writes a local, counts-only share card with no names by default; see the checkup guide.
Configuration-based findings describe declared access. A connected listing adds the tool metadata the server provides, but does not prove what the server will do later. Connected HTTP scans also send one credential-free server/discover request and, on 401, review bounded public authorization metadata. The probe never uses configuration header values and does not run with --skip-connect or for project sources without connection opt-in. These observations do not prove a completed OAuth flow. The optional canary is bounded and exercises only eligible tools under its documented limits. See How it works for the boundary between those observations.
Reports can contain configuration shape, tool names, and evidence text. Secret redaction is best-effort (known issues); review a report before sharing it. Configs are parsed in full, but environment variable values are discarded during parsing and never reported; reports keep key names for context. The output contract lists stable fields and the limits of these outputs.
MCPAudit uses Python 3.11+, uv, pytest, Ruff, and mypy. JSON, SARIF, and HTML reports are versioned public surfaces. Run make check before proposing changes.
Static findings describe configured access and served metadata; they do not prove how a server behaves later. Secret redaction is best-effort. Upgrading from 2.x? Read the 3.0 migration guide; the 3.0 boundary proposal records the decisions behind it.
Use explicit synthetic fixtures for local changes, preserve read-only defaults, and keep coverage claims tied to completed checks. Re-enable Python 3.15 after an rpds-py/PyO3 lock refresh.
Explore pinning, shadow review, suppressing findings, the trust packet guide, MCP trust packet, output contract, and sandbox fixtures. See the documentation index, labs, maintainer procedures in maintainers/, and older material in archive/.