io.github.vdineshk由 GitHub 帳號 vdineshk 發布v1.0.0更新於 Oct 24, 2026
Regulatory intelligence for AI agents across jurisdictions
發布方自己的服務：Observatory
提供 AI 代理跨司法管轄區的法規情報，讓助理查詢合規義務、條文、期限與跨國比較。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.vdineshk%2Fai-compliance-monitor/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"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
來源：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已滿足適用檢查項的 90%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
請在儲存庫或註冊中心條目中宣告授權條款。
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