Regulatory Intel MCP (US Federal Register for AI agents)
The io.github.selflabbs/regulatory-intel-mcp server provides access to the US Federal Register for AI agents. It exposes MCP tools that an agent can call mid-task to search and retrieve rules, notices, proposed rules, and presidential documents, including executive orders, without API keys.
๐ ๏ธ Key Features
- Tool-based access to Federal Register content for AI agents
- Search by term, agency, and date across rules and presidential documents
- Retrieve full document detail (abstract, effective date, comment deadline, CFR references, citation)
- Access newest filings via type and agency filters
- No API keys required
๐ Use Cases
- Finding relevant federal rules, proposed rules, and notices by keyword and agency
- Checking document metadata such as effective dates and comment deadlines
- Tracing references to CFR sections from a specific citation
- Monitoring recently published filings by type and agency
โก Developer Benefits
- Standardized MCP tool interfaces (
search_documents,document,recent_documents) - Document lookups suitable for compliance workflows
- Supports agent mid-task retrieval without external key management
โ ๏ธ Limitations
- Scope described as US Federal Register and presidential documents; other sources are not specified
๐ Topics
- ai-agents, ai-tools, claude, compliance, federal-register, llm, mcp, mcp-server, model-context-protocol, regulations