RulesetMCP

> Weight-On-Wheels for AI: Keep every agent grounded in your project's rules.

RulesetMCP is a Model Context Protocol (MCP) server that gives AI agents a project-aware rulebook. Instead of explaining your coding standards, SQL conventions, or process guidelines every time you open a new AI session, you define them once in version-controlled files. RulesetMCP reads those files and exposes tools for listing, summarizing, and applying rules to specific tasks and snippets.

Right now you probably:

• ✋ Repeat the same context to AI every session ("Use UPPER-CASE for SQL keywords")
• 📝 Maintain scattered documentation that AI can't easily query
• 🔄 Re-explain architecture decisions across different AI tools
• ⚠️ Hope the AI remembers your project's conventions

RulesetMCP acts like a "Weight-On-Wheels" switch for AI assistants: once your rules are loaded, every action is grounded in them. This keeps your rewrites, refactors, and new features aligned with the architecture and process decisions you've already made.

• 🔍 Project discovery via list_projects
• 📋 Structured rules from Markdown and YAML
• 🎯 Contextual queries with get_rules (filter by area, tags, severity)
• 📊 Task-oriented summaries with summarize_rules_for_task
• ✅ Snippet validation with validate_snippet
• 🔄 Hot-reload rules with reload_rules
• 🌐 Universal compatibility via MCP protocol (works with Claude Code, Claude Desktop, and any MCP-compatible client)

npm install -g rulesetmcp

Or clone and build locally:

git clone https://github.com/n8daniels/RulesetMCP.git
cd RulesetMCP
npm install
npm run build

Create rulesetmcp.config.json in your workspace:

{
  "projects": [
    {
      "id": "my-api",
      "name": "My API Project",
      "paths": ["/path/to/my-api"],
      "rulesPaths": ["rules/", "docs/rules/"