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rulebook-mcp

Manage tasks and skills programmatically via the MCP protocol.

15|2|Updated Oct 23, 2025
Search Tags:#automation#mcp#server#skill-management#task-management#model-context-protocol#ai-integration
One-click install
npx skills add https://github.com/hivellm/rulebook --skill rulebook-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rulebook-mcp
Source: https://github.com/hivellm/rulebook/tree/main/skills/rulebook-mcp
Command: npx skills add https://github.com/hivellm/rulebook --skill rulebook-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates programmatic management of tasks and skills via the MCP protocol.

Core Features & Use Cases

  • MCP Server integration and management of tasks and skills
  • Enable/disable skills and manage skill lifecycles
  • List/show/search and validate tasks and skills
  • MCP configuration guidance and sample cursor setup for integration

Quick Start

Run rulebook mcp init to set up the MCP server, then start the server with rulebook-mcp. Example: enable a skill with rulebook mcp enable --skill-id languages/typescript.

Frequently Asked Questions about rulebook-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I programmatically manage AI assistant tasks and skills using MCP?▼

You can programmatically manage tasks and skills using the Model Context Protocol (MCP) by running an MCP server that orchestrates task lifecycles and integrates AI assistants with external systems.

How do I enable or disable a specific skill through an MCP server?▼

You can enable or disable a specific skill through an MCP server by executing the `rulebook mcp enable --skill-id [skill-name]` command, which directly manages the skill lifecycle programmatically.

Does the Model Context Protocol support listing and validating existing skills?▼

Yes, the Model Context Protocol supports listing, showing, searching, and validating existing skills through dedicated MCP server endpoints to ensure proper skill lifecycle management.

What is the best way to configure a cursor for MCP server integration?▼

The best way to configure a cursor for MCP server integration is to use the provided sample cursor configuration, which offers guidance on connecting your AI assistant environment to the MCP endpoints.

Can I use MCP to orchestrate tasks across external systems without manual intervention?▼

Yes, you can use MCP to orchestrate tasks across external systems without manual intervention by applying the protocol's lifecycle functions to automate task management and AI integration endpoints.

Are there dependencies required to set up an MCP server for skill management?▼

No specific dependencies are required to set up an MCP server for skill management, allowing you to directly initialize the server and manage task lifecycles in your AI assistant environment.

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