By JSungMin
Force Claude Code to use Rider's MCP symbol/reference/file index instead of Bash grep, with token-flood summarization. Faster and fewer tokens on large Unreal C++/.NET codebases. Auto-installs gamedev-log-analyzer.
Scan local Claude Code transcripts and report (aggregate, local-only) how many code searches bypassed rider-search vs went through it — to find missed token savings. No proprietary content in the output.
Turn on / connect Rider's MCP server when search tools report "not connected". Probes Rider, gives the exact enable steps, and applies the detected SSE URL.
Regenerate Unreal project files so Rider re-indexes new/moved/renamed source (fixes "doesn't exist"/empty searches from a stale project model). Dry-run-first; safe.
Report how many tokens the rider-mcp-enforcer plugin has saved (vs forwarding Rider's raw responses), plus build-artifact noise items dropped.
Configure the rider-mcp-enforcer plugin (Rider SSE URL, project path, result caps, exclude filter). Writes ~/.rider-mcp-enforcer/config.json and tells you to /reload-plugins.
Admin access level
Server config contains admin-level keywords
Executes bash commands
Hook triggers when Bash tool is used
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub jsungmin/rider-mcp-enforcer --plugin rider-mcp-enforcerComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Sits between Claude Code and your codebase and hands back a short file:line list instead of dumping source into the chat. It uses a real language server when it can (clangd / Roslyn / tsserver / pyright), tree-sitter when there's no toolchain, and a fuzzy search built from your repo's own naming when you don't know the exact name (no embeddings). It section-edits Markdown and config files the same way. Everything stays on your machine. No IDE required. Bundles gamedev-log-analyzer for reading huge editor/build logs.
Token-efficient game-engine & build log analysis for Claude Code (CLI-first). Parses, deduplicates, and classifies huge Unreal/Unity/Godot/MSVC-UBT-MSBuild logs — search by severity/category, roll up by callsite, diff runs, locate file:line, and extract decisive scalar fields. No IDE required.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
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