compliance-mcp

compliance-mcp

Provides regulatory and compliance intelligence from free government sources, including rules, recalls, enforcement actions, and comment deadlines, classified by industry and severity.

Category
访问服务器

README

Regulatory & Compliance Intelligence MCP

Regulatory & compliance intelligence for AI agents — rules, recalls, enforcement actions, and comment deadlines from free government sources, classified by industry and severity.

Part of the FoundryNet Data Network. Attest your agent's compliance analysis with MINT Protocol. See also: gov-contracts-mcp, brand-intel-mcp, patent-intel-mcp, financial-signals-mcp, weather-intel-mcp.

Live MCP endpoint (Streamable HTTP): https://compliance-mcp-production.up.railway.app/mcp

Tools

Tool Price What it does
search_regulations $0.01 Filtered regulatory entries (industry/agency/type/keyword/severity)
compliance_alerts $0.01 Active alerts for an industry, deadline-urgent — "what do I worry about in pharma this week?"
recall_check $0.01 FDA (food/drug/device) + CPSC product recalls with severity
enforcement_actions $0.01 Enforcement actions with parsed penalty amounts
comment_deadlines $0.01 Upcoming proposed-rule comment deadlines
daily_digest $0.02 Structured daily digest organized by severity
mint_info free FoundryNet Data Network + MINT Protocol

Free tier: 25 paid-tool queries/day per agent. Then x402: the tool returns an HTTP-402 with a Solana USDC payment memo — pay it, re-call with the same args plus payment_tx=<signature>. An Authorization: Bearer fnet_… key bypasses the paywall.

How it works

Every 12 hours the aggregator fetches new entries from Federal Register (rules/proposed/notices), openFDA (food/drug/device recall & enforcement), and CPSC (consumer product recalls), classifies each by industry (keyword taxonomy across 12 sectors) and severity (info → warning → action_required → critical), and stores them in a standalone Supabase project.

Severity logic: Class I / injury-or-death recalls + emergency rules → critical; final rules with a compliance deadline ≤ 90 days or enforcement penalties > $100K → action_required; proposed rules in comment period → warning; notices/guidance → info.

Honesty note: EPA ECHO, OSHA, and SEC enforcement (their public endpoints need multi-step queries or scraping) are planned additional sources; enforcement penalties are currently parsed from Federal Register notices.

Connect

Smithery: @foundrynet/compliance-intel · MCP registry: io.github.FoundryNet/compliance-mcp

{ "mcpServers": { "compliance": { "url": "https://compliance-mcp-production.up.railway.app/mcp" } } }

Built by FoundryNet · hello@foundrynet.io

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选