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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.

The Problem

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

The Solution

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.

Features

  • 🔍 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)

Quick Start

1. Install

npm install -g rulesetmcp

Or clone and build locally:

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

2. Create Config

Create rulesetmcp.config.json in your workspace:

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

3. Add Rules

Create rules/RULES.md in your project:

# My API - Coding Standards ## [api-naming-001] RESTful endpoint naming **Area:** api **Severity:** warn **Tags:** api, rest, naming **Description:** All REST endpoints must use plural nouns and follow `/api/v1/{resource}` pattern. **Good Example:**

GET /api/v1/users POST /api/v1/orders

**Bad Example:**

GET /api/getUser POST /api/create-order

4. Configure Your MCP Client

Claude Desktop (

{ "mcpServers": { "rulesetmcp": { "command": "rulesetmcp", "args": ["--config", "/path/to/rulesetmcp.config.json"] } } }

Claude Code (

{ "mcp": { "rulesetmcp": { "command": "rulesetmcp", "args": ["--config", "/path/to/rulesetmcp.config.json"] } } }

5. Use It!

Now when you work with AI:

You: "Refactor this SQL stored procedure to pull more data from the users table" AI: [Calls get_rules for project="my-api", area="sql"] AI: "Based on your project's SQL rules, I'll ensure: - All keywords are UPPER-CASE - Identifiers use lower_case - Proper indexing hints are included Here's the refactored procedure..."

Rule Formats

RulesetMCP supports multiple formats:

Markdown (RULES.md)

## [rule-id] Rule Title **Area:** sql **Severity:** error **Tags:** formatting, style **Description:** What the rule requires **Rationale:** Why this matters **Good Example:** ```sql SELECT * FROM users;

Bad Example:

select * from Users;
### YAML (rules/*.yaml) ```yaml - id: sql-format-001 project: my-api area: sql title: SQL casing convention description: All SQL must use UPPER-CASE keywords and lower_case identifiers severity: warn tags: [sql, style, formatting] examples: good: | SELECT u.user_id FROM users u; bad: | select UserID from Users; appliesTo: - "*.sql" - "procedures/*"

MCP Tools

list_projects

Discover available projects and their rule sets.

get_rules

Query rules by project, area, tags, or severity.

validate_snippet

Validate code/SQL/config against project rules and get fix suggestions.

summarize_rules_for_task

Get a task-oriented summary of relevant rules before starting work.

reload_rules

Hot-reload rules after editing files on disk.

Philosophy

RulesetMCP embodies the "Weight-On-Wheels" principle: just like an aircraft can't ignore physics once grounded, AI agents shouldn't ignore your project's rules once RulesetMCP is enabled.

This is not just documentation - it's:

  • ✅ Machine-readable and queryable

  • ✅ Version-controlled with your code

  • ✅ Enforceable via validation tools

  • ✅ Universal across all MCP-compatible AI tools

Examples

See the examples/ directory for complete sample projects:

  • nodejs-api/ - REST API with TypeScript standards

  • python-django/ - Django project with security rules

  • dotnet-webapi/ - .NET API with architecture patterns

Use Cases

SQL Standardization

- id: sql-format-001 area: sql title: SQL keyword casing description: All SQL keywords UPPER-CASE, identifiers lower_case severity: warn

Security Guardrails

- id: security-001 area: security title: No hardcoded secrets description: Use environment variables or secure vaults severity: blocker

Architecture Patterns

- id: arch-http-001 area: architecture title: Use HttpClientFactory description: Never instantiate HttpClient directly severity: error

Migration Rules

- id: migration-001 area: migration title: Preserve backward compatibility description: When refactoring API endpoints, maintain old routes with redirects severity: blocker

Roadmap

  • Phase 1: Core MCP server with basic tools

  • Phase 2: Multi-format rule loading (Markdown, YAML)

  • Phase 3: Advanced validation with pattern matching

  • Phase 4: LLM-assisted rule violation detection

  • Phase 5: VSCode extension for inline hints

  • Phase 6: Pre-commit hooks and CI/CD integration

  • Community rule packs (OWASP, Google Style Guide, etc.)

Contributing

Contributions welcome! Please see CONTRIBUTING.md for guidelines.

Building From Source

npm install npm run build npm start

License

MIT License - see LICENSE

Support


Built with ❤️ for developers tired of repeating themselves to AI

"Stop explaining. Start enforcing."

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security - not tested
A
license - permissive license
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quality - not tested

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