Dynamically load Claude Code skills into AI agents without copying files.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-back1ply-agent-skill-loader": {
"args": [
"-y",
"agent-skill-loader"
],
"command": "npx"
}
}
}Are you the author?
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Agent Skill Loader is a Model Context Protocol (MCP) server that acts as a bridge between your static Claude Code Skills library and dynamic AI agents (like Claude Desktop, Cursor, or any MCP client).
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'agent-skill-loader' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked agent-skill-loader against OSV.dev.
Click any tool to inspect its schema.
skillsSkills appear as MCP Prompts (slash commands) in clients like Claude Desktop and Cursor. Skills are auto-discovered from configured directories and injected directly without tool calls needed.
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Agent Skill Loader is a Model Context Protocol (MCP) server that acts as a bridge between your static Claude Code Skills library and dynamic AI agents (like Claude Desktop, Cursor, or any MCP client).
It exposes skills both as MCP Prompts (slash commands, zero tool calls needed) and as MCP Tools (for programmatic use). Skills are auto-discovered from configured directories and stay live — add a new SKILL.md and the client is notified automatically.
listChanged notification fires when skills are added or removed (via file watcher).list_skills — scans configured skill directories, with optional search filter.read_skill — fetches the SKILL.md content.install_skill — copies a skill permanently to your project.manage_search_paths — add/remove skill directories at runtime.debug_info — diagnose configuration and path issues.npm install -g agent-skill-loader
Then register in .mcp.json:
"agent-skill-loader": {
"command": "agent-skill-loader"
}
git clone https://github.com/back1ply/agent-skill-loader.git
cd agent-skill-loader
npm install
npm run build
Then register in .mcp.json:
"agent-skill-loader": {
"command": "node",
"args": ["<path-to-repo>/build/index.js"]
}
The server automatically detects its workspace and aggregates skill paths from:
%USERPROFILE%\.claude\plugins\cache (Standard location)skill-paths.json (Located in the project root)| Variable | Description |
|---|---|
MCP_SKILL_PATHS | JSON array or semicolon/comma-separated list of additional skill paths |
MCP_WORKSPACE_ROOT | Override auto-detected workspace root |
MCP_NO_WATCH | Set to 1 to disable the file watcher (useful in CI) |
You do not need to manually edit config files. Use the tool to manage paths at runtime:
manage_search_paths(operation="add", path="F:\\My\\Deep\\Skills")manage_search_paths(operation="remove", path="...")manage_search_paths(operation="list") creates/updates skill-paths.json.If your client supports MCP Prompts (Claude Desktop, Cursor, etc.), skills appear automatically as slash commands. Select a skill from the slash command menu to inject its content directly — no tool calls needed.
The agent has access to five tools:
list_skills(query?): Returns a JSON list of available skills. Optional query filters by name/description substring (case-insensitive).read_skill(skill_name): Returns the markdown instructions for a skill.install_skill(skill_name, target_path?): Copies the skill folder to .agent/skills/<name>. For security, target_path must be within the current workspace.manage_search_paths(operation, path?): Add, remove, or list skill search paths.debug_info(): Returns