joshualutkemuller/NaturalSentinel
An agentic system with persistent memory and MCP server capabilities for monitoring regulatory filings across SEC, CFPB, Fed, FDA, EPA, and USTR.
Overview
joshualutkemuller/NaturalSentinel is a Python MCP server licensed under MIT. An agentic system with persistent memory and MCP server capabilities for monitoring regulatory filings across SEC, CFPB, Fed, FDA, EPA, and USTR.
Ranked #24 out of 104 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit today → actively maintained
No issues filed → no history to score
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
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From the README
# NaturalSentinel **Agentic regulatory change monitor with persistent memory, skill framework, and MCP server.** Watches regulatory filings across financial services, technology, and telecom sectors — parses dense legal language using a five-stage ETL pipeline, maps changes to affected business lines, detects macro-prudential and tech regulatory regimes, and learns from human feedback over time. ``` Stdlib unittest suite passing · zero required dependencies · pluggable LLM backends 35 skills · 17 agents · 18 regime archetypes · expanding sample filing corpus ``` ## Quick Start > **Canonical runtime path:** `AgentRuntime` + registered skills is the strategic, forward-looking API for NaturalSentinel. `RegulatoryMonitorAgent` remains supported as a compatibility layer for the legacy fetch → analyze → store workflow, the CLI, and MCP integrations that still wrap that interface. ```bash # Clone and run — no API keys needed cd naturalsentinel pip install -e . PYTHONPATH=src python examRead full README on GitHub →
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