AI Skill Converter
Converts AI Skills (following Claude Skills format) into Model Context Protocol (MCP) server resources, making them accessible to large language model applications.
소개
The AI Skill Converter is a powerful tool designed to bridge the gap between AI skills, particularly those formatted for Claude, and the Model Context Protocol (MCP). It transforms self-contained skill directories, each containing a `SKILL.md` file with YAML frontmatter, into standardized MCP server resources. This allows large language model applications to automatically discover and utilize these capabilities. While domain-agnostic, it's a core component of the BioContextAI initiative, aimed at connecting agentic AI with biomedical resources through standardized MCP servers, fostering a community-driven ecosystem for AI-powered research.
주요 기능
- Robust frontmatter parsing to extract skill metadata like name and description.
- Automatic skill discovery by recursively finding `SKILL.md` files in a configured directory.
- 3 GitHub stars
- Exposes three core tools: `get_available_skills`, `get_skill_details`, and `get_skill_related_file` for programmatic access to skill information.
- Enhanced security through path validation to prevent directory traversal and unauthorized file access.
- Configurable skills directory allowing independent management and deployment of different skill collections.
사용 사례
- Exposing custom Claude-format AI skills as accessible resources for any LLM application supporting the Model Context Protocol.
- Integrating specialized skill sets, such as biomedical research workflows, into MCP clients like Claude Desktop.
- Managing and deploying multiple, distinct skill collections using separate server instances for diverse project requirements.
