Global law
The law of nearly every country on earth, any date: read it, see what changed it, check citations.
PII/secret redaction, email checks, sanctions screening, OSV lookups and an MCP server pre-check.
选择你使用的 AI 应用,然后复制设置。
通过 1/3 项检查 · 你的提问会经过开发者的服务器(mcp.getfairquery.com) · ✓ 命令已检查 2026年11月14日
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 · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Fairquery Agent Trust & Data Safetyhttps://mcp.getfairquery.com/mcp在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
+ConnectorsFairquery Agent Trust & Data Safety
用 Fairquery Agent Trust & Data Safety 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 Fairquery Agent Trust & Data Safety,或回答中出现 Fairquery Agent Trust & Data Safety 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
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
Plugins+Add custom MCP server
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Fairquery Agent Trust & Data Safetyhttps://mcp.getfairquery.com/mcp开启新聊天,输入前先从插件列表中选择 Fairquery Agent Trust & Data Safety
用 Fairquery Agent Trust & Data Safety 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 Fairquery Agent Trust & Data Safety,或回答中出现 Fairquery Agent Trust & Data Safety 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 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http --scope user agent-trust https://mcp.getfairquery.com/mcp应能看到 Fairquery Agent Trust & Data Safety 在列表中并显示已连接
用 Fairquery Agent Trust & Data Safety 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 Fairquery Agent Trust & Data Safety,或回答中出现 Fairquery Agent Trust & Data Safety 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 · 约 2 分钟
不需要密钥,不用安装程序
用 Fairquery Agent Trust & Data Safety 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 Fairquery Agent Trust & Data Safety,或回答中出现 Fairquery Agent Trust & Data Safety 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 · 约 2 分钟
不需要密钥,不用安装程序
用 Fairquery Agent Trust & Data Safety 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 Fairquery Agent Trust & Data Safety,或回答中出现 Fairquery Agent Trust & Data Safety 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
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://mcp.getfairquery.com/mcpJSON 设置在下方“开发者专用”中
Claude Code
claude mcp add --transport http --scope user agent-trust https://mcp.getfairquery.com/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"agent-trust": {
"url": "https://mcp.getfairquery.com/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"agent-trust": {
"type": "http",
"url": "https://mcp.getfairquery.com/mcp"
}
}
}Claude Code
claude mcp add --scope user agent-trust -- npx -y @fairquery/agent-trust-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"agent-trust": {
"command": "npx",
"args": [
"-y",
"@fairquery/agent-trust-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"agent-trust": {
"command": "npx",
"args": [
"-y",
"@fairquery/agent-trust-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"agent-trust": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@fairquery/agent-trust-mcp"
]
}
}
}APIFY_TOKEN 机密 env说明仍为英文原文。
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。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
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
工具名称和描述与服务器在 2026年11月12日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
pii_list_detectorsWHAT: Fortress Shield (agent I/O PII protection). Catalog of every PII and secret entity type, which ones the free tools run on this Worker (pii_scan_text / pii_redact_text) vs only in the paid Actor (NER names/locations, and fetching remote PDF/document URLs; http(s) URLs in tex
pii_scan_textWHAT: Fortress Shield (agent I/O PII protection). Detect PII (emails incl. "jane [at] acme [dot] com" and "jane at acme dot com" forms, phones, US SSNs/ITINs, Luhn-valid cards, mod-97 IBANs, UK NINOs, IPv4 and full or compressed IPv6, MAC addresses, labelled dates of birth / pass
pii_redact_textWHAT: Fortress Shield (agent I/O PII protection). Return sanitized copies of texts with every local PII/secret finding replaced: placeholder [EMAIL_k7q2m9xp4a] (random id per value), mask, or hash. For placeholders the originals come back only inside meta.sealed_map, an AES-256-G
pii_restore_textWHAT: Fortress Shield (agent I/O PII protection). Put the original values back into texts (typically an LLM answer) that contain placeholders such as [EMAIL_k7q2m9xp4a], by opening meta.sealed_map from pii_redact_text on this Worker (or a legacy clear-text placeholder map). Numer
pii_guard_documentsWHAT: Runs the Fairquery Apify Actor llm-data-guard-pii-secrets: everything pii_scan_text does PLUS person-name/location NER, street addresses, public document URLs (txt/md/json/csv/HTML/PDF text layer, <= 10 MB) and restore mode (put originals back into LLM output using a placeh
email_check_syntaxWHAT: Offline email checks: RFC-style syntax + normalization, common domain typo "did you mean" (gmial.com -> gmail.com), disposable/temporary domain (bundled CC0 list, ~thousands of domains), role account (info@, sales@), free webmail provider. WHEN: Fast pre-filtering of signup
email_validate_deliverabilityWHAT: Runs the Fairquery Apify Actor email-validator-mx-disposable: syntax, domain existence, MX/null-MX, disposable, role, free provider, typo suggestion, SPF/DMARC policy, mail provider; final verdict valid | risky | invalid | unknown. WHEN: Only when MX/DNS matters (can the do
sanctions_list_sourcesWHAT: Static list of the official sanctions lists sanctions_screen_names checks (id, name, authority, download URL), the score scale and the legal disclaimer. WHEN: To choose the lists parameter, cite sources in a report, or explain coverage before paying. WHEN NOT: To screen a n
sanctions_screen_namesWHAT: Runs the Fairquery Apify Actor sanctions-watchlist-screener: fuzzy-match people/organisations against OFAC SDN, OFAC Consolidated, EU, UK and UN lists from the official sources (re-downloaded when the cached copy in your Apify account is older than 6 h; every row reports ea
osv_query_packagesWHAT: Query the public OSV.dev database (api.osv.dev querybatch) for exact package versions; returns which are vulnerable and the advisory IDs. WHEN: Quick "is lodash 4.17.20 vulnerable?" checks for up to 200 packages; then osv_get_vulnerability for details of specific IDs. WHEN
osv_get_vulnerabilityWHAT: Fetch full OSV records (summary, details, aliases, severity vectors, affected ranges, fixed versions, references) for advisory IDs from api.osv.dev. WHEN: You have IDs (from osv_query_packages or a report) and need details or the fixed version. WHEN NOT: To find which vulns
osv_audit_dependenciesWHAT: Runs the Fairquery Apify Actor osv-dependency-vulnerability-check: parses package.json, package-lock.json (v1-v3), requirements.txt or go.mod (or a package list), checks OSV, and returns per-package max severity/CVSS, fixed versions, a recommended upgrade version and one ro
trust_screen_leadWHAT: One call per batch of leads/counterparties: runs email_validate_deliverability on their emails and sanctions_screen_names on their person/company names IN PARALLEL, then merges results per lead with an overall decision: block (invalid email or sanctions potential_match), re
mcp_server_precheck 看起来像是对 AI 下的指令WHAT: Pre-install check for one MCP server. Scans tool names (split on _ - . and camelCase), descriptions, parameter names/descriptions and schema enum/default/examples you pass for injection phrasing, concealed characters (tag characters, base64 and hex blobs are decoded and res
jobs_get_boardIndexed Jobs search is LIVE (paid, on your own Apify token): one call searches 8,800+ Greenhouse, Ashby and Lever company boards, with radius and salary filters, from a fresh daily index (not a live scrape of a few boards). Run it as the Apify Actor https://apify.com/fairquery/jo
jobs_find_boardIndexed Jobs search is LIVE (paid, on your own Apify token): one call searches 8,800+ Greenhouse, Ashby and Lever company boards, with radius and salary filters, from a fresh daily index (not a live scrape of a few boards). Run it as the Apify Actor https://apify.com/fairquery/jo
jobs_check_openIndexed Jobs search is LIVE (paid, on your own Apify token): one call searches 8,800+ Greenhouse, Ashby and Lever company boards, with radius and salary filters, from a fresh daily index (not a live scrape of a few boards). Run it as the Apify Actor https://apify.com/fairquery/jo
jobs_get_jobIndexed Jobs search is LIVE (paid, on your own Apify token): one call searches 8,800+ Greenhouse, Ashby and Lever company boards, with radius and salary filters, from a fresh daily index (not a live scrape of a few boards). Run it as the Apify Actor https://apify.com/fairquery/jo
jobs_list_seed_boardsIndexed Jobs search is LIVE (paid, on your own Apify token): one call searches 8,800+ Greenhouse, Ashby and Lever company boards, with radius and salary filters, from a fresh daily index (not a live scrape of a few boards). Run it as the Apify Actor https://apify.com/fairquery/jo
jobs_search_by_locationIndexed Jobs search is LIVE (paid, on your own Apify token): one call searches 8,800+ Greenhouse, Ashby and Lever company boards, with radius and salary filters, from a fresh daily index (not a live scrape of a few boards). Run it as the Apify Actor https://apify.com/fairquery/jo
jobs_search_companiesIndexed Jobs search is LIVE (paid, on your own Apify token): one call searches 8,800+ Greenhouse, Ashby and Lever company boards, with radius and salary filters, from a fresh daily index (not a live scrape of a few boards). Run it as the Apify Actor https://apify.com/fairquery/jo
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15日
注册中心没有列出源代码仓库,因此无法将发布者(getfairquery.com)与代码对应起来
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
在 156 毫秒内响应(HTTP 200)
无需登录
有 1 个工具描述包含看起来像是对 AI 下指令的文字。安装前请先阅读下方的内容
OSV.dev 中没有 @fairquery/agent-trust-mcp@1.1.10 的记录
只检查这个版本的包本身,不包括所有依赖 · 检查于 2026年11月15日
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 3 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。
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。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(1.1.10)于19天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
同一分类中有:Global law, Open Legal Data (Germany), LibreJustice, InfraNode, Fedlex Connector
同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。
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
The law of nearly every country on earth, any date: read it, see what changed it, check citations.
German court decisions (Rechtsprechung) and laws (Gesetze) with citation graph and citation checks.
Search French-language and European case law and French legal texts (codes, statutes, treaties).
Keyless open data for 84 German cities: 12 lean read-only MCP tools covering 67 data types.
Search Swiss federal legislation: laws, articles, amendments via the Fedlex SPARQL endpoint.
仓库中没有找到 README