EVOKORE-MCP (Model Context Protocol Server)

A unified Model Context Protocol (MCP) server that aggregates, indexes, and dynamically serves over 200+ specialized Agent Skills, Prompts, and Coding Workflows to AI assistants like Claude, Cursor, Copilot, and Gemini.

🚀 Features

• Dynamic Skill Loading: Automatically scans the SKILLS/ directory on startup and registers .md instructions as MCP Prompts, Resources, and Tools.
• Progressive Disclosure: Keeps context windows lean by serving prompts only when requested by the LLM.
• Massive Built-in Library: Includes 146 specialized developer plugins (Wshobson), the Hive Framework, the Manus planning-with-files protocol, and extensive custom orchestration workflows (e.g., arch-aep-runner, session-wrap).

🛠️ Setup

To use this server with your AI client (like Claude Desktop or Cursor), add the following to your MCP configuration file:

{
  "mcpServers": {
    "evokore-mcp": {
      "command": "node",
      "args": ["/absolute/path/to/EVOKORE-MCP/dist/index.js"]
    }
  }
}

🎓 Comprehensive Training

Dive into our extensive, deeply researched use cases and training guides for all 200+ skills: Training & Use Cases Documentation.

📂 Repository Structure

• src/index.ts: The core MCP Server implementation.
• SKILLS/: The library of 200+ organized Markdown skills.
• scripts/: Maintenance scripts (like clean_skills.js) to normalize YAML frontmatter across the library.

🤝 Contributing

This repository uses a strict Pull Request (PR) only workflow. Direct commits to the main branch are restricted (except by the owner).

1. Fork or branch from main.
2. Add or update a skill in the SKILLS/ directory. Ensure it has valid YAML frontmatter.
3. Submit a Pull Request.