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MCP server · AI

server

MCP server for Claude Code — query AI rule violations, coding standards, and analytics directly in your IDE. Model Context Protocol.

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39Low

Scored 3 months ago · breakdown

About server

server is an MCP server published by git+TheDecipherist in the AI category: mCP server for Claude Code — query AI rule violations, coding standards, and analytics directly in your IDE. Model Context Protocol. It has been installed 0 times through Conduid.

Install

Install
npx @rulecatch/mcp-server
Claude Code
claude mcp add rulecatch-sdk -- npx -y @rulecatch/mcp-server
npx
npx -y @rulecatch/mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Rulecatch SDK

Official open-source packages for Rulecatch — AI coding analytics, monitoring, and rule enforcement for Claude Code.

Track every AI coding session in real-time: tool calls, file edits, token usage, costs, and rule violations. Privacy-first with zero-knowledge encryption.

Packages

Package Description npm
@rulecatch/ai-pooler CLI + hooks for tracking AI coding activity npm
@rulecatch/mcp-server MCP server — query violations and rules from Claude Code npm

Quick Start

Monitor AI activity (no account needed)

npx @rulecatch/ai-pooler monitor --no-api-key

See what your AI coding assistant is doing in real-time — tool calls, file edits, tokens, costs. Zero setup.

Full setup (with dashboard)

# 1. Install and configure
npx @rulecatch/ai-pooler init

# 2. Start the live monitor
npx @rulecatch/ai-pooler monitor

# 3. (Optional) Add MCP server for in-IDE rule violations
# Add to ~/.claude/mcp.json:
# { "mcpServers": { "rulecatch": { "command": "npx", "args": ["-y", "@rulecatch/mcp-server"] } } }

What It Tracks

  • Tool calls — every Read, Write, Edit, Bash, Grep, Glob with success/failure and I/O size
  • Token usage — input/output tokens per model, running totals
  • Cost — real-time cost estimation by model (Opus, Sonnet, Haiku)
  • Code changes — lines added/removed via git diff
  • Session timeline — start, end, duration, active time
  • Rule violations — custom rules enforced across your team

Privacy

All personal data (file paths, emails, project names) is encrypted on your machine before it leaves. We use AES-256-GCM with PBKDF2 key derivation (100k iterations). Your encryption key never leaves your device.

Read more about our privacy architecture

How It Works

Claude Code hooks → local buffer → flush to API → dashboard
                                                 ↓
                              rule engine → violation alerts
  1. Hooks capture events from Claude Code (zero token overhead — hooks run in bash)
  2. Buffer stores events locally as JSON files
  3. Flush sends batched events to the Rulecatch API (encrypted)
  4. Dashboard shows analytics, trends, and team insights
  5. Rules are checked in real-time and violations surface in the MCP server

Links

License

MIT

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About server

How do I install server?

Run npx @rulecatch/mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is server safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.