-mcp-to-skill-converter

This converter transforms any Model Context Protocol (MCP) server into a Claude Skill using progressive disclosure, reducing token consumption by up to 90%. Instead of loading all tool definitions at startup, skills load metadata (~100 tokens) initially and full instructions only when needed (~5k tokens). Works with any standard MCP server including GitHub, Slack, filesystem, and PostgreSQL, making it ideal for teams with 10+ tools or tight context budgets. The generated skills include SKILL.md instructions, a dynamic executor, and config files—just copy to your Claude skills directory to activate.

[{"step":"Prepare your MCP server configuration","action":"Export your MCP server's configuration file (usually JSON/YAML) and identify the core endpoints you need to expose as a Claude Skill.","tip":"Focus on the most frequently used endpoints first to maximize efficiency gains."},{"step":"Run the conversion tool","action":"Use the command `mcp-to-skill-converter --config [PATH_TO_CONFIG] --output [SKILL_NAME]` to generate the skill files.","tip":"Add `--minify` flag to automatically optimize the output for minimum context usage."},{"step":"Review and customize the generated skill","action":"Edit the output files to add custom documentation, error handling, or integration-specific logic as needed.","tip":"Pay special attention to the caching strategy and field validation sections for maximum efficiency."},{"step":"Deploy the skill","action":"Place the generated files in your Claude Skills directory and restart your AI assistant to load the new skill.","tip":"Test with a single endpoint first before deploying all converted functionality."},{"step":"Monitor performance","action":"Track token consumption and response times to verify the 90%+ reduction in context usage.","tip":"Use the built-in logging to identify any endpoints that aren't optimizing as expected."}]