What is tier-0 regulatory data?
Tier-0 regulatory data refers to official, verified sources as described in the Obsidian Regulatory Intelligence blog. It is the primary authoritative source for regulations.

@richbile
基本信息
Verified, tier-0 regulatory data for your AI: connect Claude, ChatGPT or Cursor to 850+ official sources across 50+ jurisdictions.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"obsidian-regulatory": {
"url": "https://mcp.obsidianri.com/mcp"
}
}
}semantic search across verified, tier-0 regulations, filtered by jurisdiction, framework, topic, and date.
keyword search across regulatory news and updates.
Obsidian Regulatory Mcp is a verified, tier-0 regulatory data layer that connects AI assistants like Claude, ChatGPT, or Cursor to official regulatory data from 850+ sources across 50+ jurisdictions. Every result includes its source, date, jurisdiction, framework, and status, providing accurate regulatory information without hallucinations.
Add the connector URL https://mcp.obsidianri.com/mcp to your AI assistant, then sign in with Obsidian using OAuth 2.1 (no API key required). Use the two available tools: regulatory_search for semantic search filtered by jurisdiction, framework, topic, and date, and search_news for keyword search across regulatory news. The free tier offers 100 verified requests per month with no credit card.
Tier-0 regulatory data refers to official, verified sources as described in the Obsidian Regulatory Intelligence blog. It is the primary authoritative source for regulations.
Obsidian Regulatory Mcp covers 50+ jurisdictions including EU, US, UK, CH, and APAC, with major frameworks such as REACH, CLP, TSCA, CSRD, ESRS, EU Taxonomy, CS3D, MDR, IVDR, FDA 21 CFR, and the AI Act.
Yes, there is a free tier that provides 100 verified requests per month with no credit card required.

Model Context Protocol Servers

Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.
评论