Enterprise DNA
M MCP Servers Developer low

arthurpanhku/DocSentinel

by Various

MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations

A

MCP

arthurpanhku/DocSentinel

Added 1 June 2026

#ai-agent #compliance #document-parsing #fastapi #llm #mcp #ollama #openai

Overview

DocSentinel is an MCP server that enables AI agents to automate cybersecurity document assessment. It parses multiple document formats, builds a RAG knowledge base, and identifies risks, compliance gaps, and remediations.

Best for

Best for
Security teams automating document review workflows

Use cases

  • Automate security questionnaire reviews
  • Extract compliance gaps from policy documents
  • Generate remediation recommendations from audit reports

How to use

Install

pip install -r requirements.txt

Tools exposed

  • LLM_PROVIDER
  • CHROMA_PERSIST_DIR
  • PARSER_ENGINE
  • ENABLE_GRAPH_RAG
  • LANGGRAPH_CHECKPOINT_DIR
  • SSDLC_DEFAULT_PHASES
  • SSDLC_DEFAULT_STAGE
  • MCP_DOCUMENT_ROOTS
  • AGENT_GATEWAY_ENABLED
  • AGENT_GATEWAY_TOKEN
  • AGENT_GATEWAY_PUBLIC_URL
  • AGENT_GATEWAY_ALLOWED_HOSTS
  • AGENT_GATEWAY_ALLOWED_ORIGINS

Tested with

Claude Desktop, Cursor, ChatGPT

Notes

DocSentinel is an MCP server that enables AI agents to automate cybersecurity document assessment. It parses multiple document formats, builds a RAG knowledge base, and identifies risks, compliance gaps, and remediations.

90 stars on GitHub. Last updated 2026-05-28. Licensed MIT.

Use cases

  • Automate security questionnaire reviews
  • Extract compliance gaps from policy documents
  • Generate remediation recommendations from audit reports

Pros

  • Multi-format document parsing
  • Integrates with AI agents via MCP protocol
  • Open source with Python codebase

Cons

  • Limited community adoption (90 stars)
  • Requires setup of MCP-compatible AI agent
  • RAG knowledge base may need tuning for domain-specific documents

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Multi-format document parsing
  • Integrates with AI agents via MCP protocol
  • Open source with Python codebase

Cons

  • Limited community adoption (90 stars)
  • Requires setup of MCP-compatible AI agent
  • RAG knowledge base may need tuning for domain-specific documents
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks