io.github.vdineshk由 GitHub 账号 vdineshk 发布v1.0.0更新于 Oct 24, 2026
Regulatory intelligence for AI agents across jurisdictions
发布方自己的服务：Observatory
提供 AI 代理跨司法管辖区的法规情报，让助手查询合规义务、条文、期限与跨国比较。
Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.vdineshk%2Fai-compliance-monitor/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"ai-compliance-monitor": {
"type": "http",
"url": "https://ai-compliance-monitor.sgdata.workers.dev/mcp"
}
}
}Structured regulatory intelligence for AI agents operating across jurisdictions.
The first MCP server purpose-built for AI agent compliance. Check obligations, deadlines, and cross-jurisdiction requirements for the EU AI Act, Singapore IMDA Agentic AI Framework, and Colorado AI Act.
AI agents operating across borders face a fragmented regulatory landscape. The EU AI Act requires automatic logging (Article 12). Singapore's IMDA framework mandates escalation protocols. Colorado demands impact assessments. No existing tool maps agent behavior to specific regulatory requirements across jurisdictions.
This server provides machine-readable, structured regulatory intelligence that AI agents can query at runtime to understand their compliance obligations.
npm install -g wrangler)CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID environment variablesThis server feeds behavioral interaction data to the Dominion Observatory, the trust scoring layer for the AI agent economy.
MIT
Built by @vdineshk | Singapore
来源：README.md，提交 b1352c8
Given an AI agent use case and optional jurisdiction, returns all applicable regulatory obligations with evidence requirements, enforcement dates, and penalty information. Use this to understand what compliance requirements apply to a specific type of AI agent.
use_case必填jurisdiction_codeReturns structured, machine-readable regulation details including specific articles, obligation classifications, risk levels, and evidence requirements. Use this to understand the detailed requirements of a specific regulation.
categoryregulation_id必填Returns upcoming and recent compliance deadlines with enforcement dates, penalty information, and related obligations. Use this to understand time-sensitive compliance requirements.
months_aheadinclude_passedjurisdiction_codeSide-by-side comparison of regulatory obligations across jurisdictions for a given compliance category. Shows equivalent, overlapping, stricter, and weaker mappings between regulations. Use this to understand how requirements differ across borders.
category必填jurisdictions已满足适用检查项的 90%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
请在仓库或注册中心条目中声明许可证。
Server URL: https://ai-compliance-monitor.sgdata.workers.dev/mcp# Check obligations for a hiring agentcurl "https://ai-compliance-monitor.sgdata.workers.dev/api/obligations?use_case=hiring_screening"
# Get EU AI Act requirementscurl "https://ai-compliance-monitor.sgdata.workers.dev/api/regulations?regulation_id=eu-ai-act"
# Check upcoming deadlinescurl "https://ai-compliance-monitor.sgdata.workers.dev/api/deadlines"
# Compare transparency requirements across jurisdictionscurl "https://ai-compliance-monitor.sgdata.workers.dev/api/compare?category=transparency"
# Service statscurl "https://ai-compliance-monitor.sgdata.workers.dev/api/stats"# Clone the repogit clone https://github.com/vdineshk/ai-compliance-monitor.gitcd ai-compliance-monitor
# Install dependenciesnpm install
# Create D1 databasenpx wrangler d1 create ai-compliance-monitor-db# Copy the database_id from output into wrangler.toml
# Run migrationsnpx wrangler d1 migrations apply ai-compliance-monitor-db --remote
# Seed regulatory datanpx wrangler d1 execute ai-compliance-monitor-db --remote --file=./migrations/0002_seed_data.sql
# Deploynpx wrangler deploynpx wrangler deploy --dry-run