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Skill Jack MCP

An MCP server that jacks Agent Skills directly into your LLM's brain.

Features

  • Skill Discovery - Automatically finds skills in a configured directory

  • Server Instructions - Injects skill metadata into the client's system prompt

  • Skill Tool - Load full skill content on demand (progressive disclosure)

Installation

npm install npm run build

Usage

# Pass skills directory as argument skill-jack-mcp /path/to/skills # Or use environment variable SKILLS_DIR=/path/to/skills skill-jack-mcp

Windows note: Use forward slashes in paths when using with MCP Inspector:

skill-jack-mcp "C:/Users/you/skills"

How It Works

The server implements the Agent Skills progressive disclosure pattern:

  1. At startup: Discovers all skills and generates <available_skills> XML for server instructions

  2. On connection: Client receives skill metadata (name, description, location) in system prompt

  3. On tool call: Agent calls skill tool to load full SKILL.md content

┌─────────────────────────────────────────────────────────┐ │ MCP Client connects │ │ ↓ │ │ Server returns capabilities + instructions │ │ • instructions = <available_skills> XML block │ │ ↓ │ │ LLM sees skill metadata in system prompt │ │ ↓ │ │ LLM calls "skill" tool with skill name │ │ ↓ │ │ Server returns full SKILL.md content │ └─────────────────────────────────────────────────────────┘

Tools

skill

Load and activate an Agent Skill by name. Returns the full SKILL.md content.

Input:

{ "name": "skill-name" }

Output: Full SKILL.md content including frontmatter and instructions.

skill-resource

Read files within a skill's directory (scripts/, references/, assets/, snippets/, etc.).

This follows the Agent Skills spec's progressive disclosure pattern - resources are loaded only when needed.

Input:

{ "skill": "mcp-server-ts", "path": "snippets/tools/echo.ts" }

Output: File content.

List available files (pass empty path):

{ "skill": "mcp-server-ts", "path": "" }

Security: Path traversal is prevented - only files within the skill directory can be accessed.

Security

Skills are treated as trusted content. This server reads and serves skill files directly to clients without sanitization. Only configure skills directories containing content you trust.

Protections in place:

  • Path traversal prevention (symlink-aware)

  • File size limits (10MB max)

  • Directory depth limits

  • Skill content is confined to configured directories

Not protected against:

  • Malicious content within trusted skill directories

  • Prompt injection via skill instructions (skills can influence LLM behavior by design)

Server Instructions Format

The server generates instructions that include a usage preamble and skill metadata:

# Skills When a user's task matches a skill description below: 1) activate it, 2) follow its instructions completely. <available_skills> <skill> <name>mcp-server-ts</name> <description>Build TypeScript MCP servers with composable code snippets...</description> <location>C:/path/to/mcp-server-ts/SKILL.md</location> </skill> </available_skills>

This follows MCP server instructions best practices:

  • Concise, actionable guidance

  • No redundancy with tool descriptions

  • Focused on workflow relationships

Skill Discovery

The server scans the provided directory for subdirectories containing a SKILL.md file:

skills/ ├── skill-one/ │ └── SKILL.md ✓ Discovered ├── skill-two/ │ ├── SKILL.md ✓ Discovered │ └── snippets/ └── not-a-skill/ └── README.md ✗ Ignored (no SKILL.md)

Each SKILL.md must have valid YAML frontmatter with name and description fields.

Testing

# Build first npm run build # Test with MCP Inspector npx @modelcontextprotocol/inspector@latest node dist/index.js /path/to/skills

Configuration for Claude Desktop

Add to your claude_desktop_config.json:

{ "mcpServers": { "skill-jack": { "command": "npx", "args": ["skill-jack-mcp", "/path/to/skills"] } } }
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