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icohangar-ops/codesentinel

by Various

AI-Powered Codebase Health Agent for Slack — dead code, circular deps, coupling, architectural drift

MCP

icohangar-ops/codesentinel

Added 8 Sept 2026

#claude #code-quality #cursor #mcp #model-context-protocol

Overview

An AI-powered codebase health agent that integrates with Slack to detect dead code, circular dependencies, coupling, and architectural drift. It analyzes JavaScript codebases and reports issues directly in Slack channels.

Best for

Best for
Teams using Slack who want automated code health checks without leaving their chat workflow

Use cases

  • Detect dead code in JavaScript repositories
  • Identify circular dependencies between modules
  • Monitor architectural drift and coupling over time

How to use

Install

npx vercel          # preview

Tools exposed

  • analyze_dead_code
  • detect_circular_deps
  • analyze_coupling
  • detect_architectural_drift
  • full_health_scan
  • explain_finding
  • check_mcp_health

Tested with

Claude Desktop, Cursor, Windsurf, ChatGPT

Example client config

{\n  "mcpServers": {\n    "codehealth": {\n      "command": "node",\n      "args": ["/path/to/codehealth-mcp/mcp-server/index.js"]\n    }\n  }\n}

Notes

An AI-powered codebase health agent that integrates with Slack to detect dead code, circular dependencies, coupling, and architectural drift. It analyzes JavaScript codebases and reports issues directly in Slack channels.

0 stars on GitHub. Last updated 2026-09-08. Licensed MIT.

Use cases

  • Detect dead code in JavaScript repositories
  • Identify circular dependencies between modules
  • Monitor architectural drift and coupling over time

Pros

  • Direct Slack integration for team visibility
  • Targets common code health issues in one tool
  • Open source and free to use

Cons

  • No community adoption yet (0 GitHub stars)
  • Requires Slack setup and configuration
  • Limited documentation or proven track record

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

Pros

  • Direct Slack integration for team visibility
  • Targets common code health issues in one tool
  • Open source and free to use

Cons

  • No community adoption yet (0 GitHub stars)
  • Requires Slack setup and configuration
  • Limited documentation or proven track record
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