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Skill Mcp Server

@ephemeraldew

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About Skill Mcp Server

Skill MCP Server is a standard [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that bridges Claude Skills to any AI agent that supports MCP.

#skill#mcp#ai#agent#claude-skill

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "skill-server": {
      "command": "uvx",
      "args": [
        "skill-mcp-server",
        "--skills-dir",
        "/path/to/your/skills",
        "--workspace",
        "/path/to/workspace"
      ]
    }
  }
}

Tools

7

Load a skill to get detailed instructions for a specific task. No skills are currently available.

List all available skills with their names and descriptions. Use this to discover what skills are available before loading one.

Read a resource file from a skill's directory. Use this tool after loading a skill to read referenced files like templates, examples, or reference documentation. The resource_path should be relative to the skill's base directory (e.g., 'assets/template.md', 'references/api_reference.md').

Execute a script from a skill's scripts/ directory. Use this tool to run Python (.py), Shell (.sh/.bash), JavaScript (.js), or TypeScript (.ts) scripts bundled with a skill. Scripts are executed in the workspace directory.

Read a file from the workspace directory. Use this tool to read files generated by skills or modified by the user.

Create or overwrite a file in the workspace. Use this tool when a skill needs to generate output files.

Edit an existing file in the workspace using search and replace. The old_string must exist in the file and should be unique.

Overview

What is Skill MCP Server?

Skill MCP Server is a standard Model Context Protocol (MCP) server that bridges Claude Skills to any AI agent supporting MCP, acting as a universal “converter” so non-native agents can use the entire Skill ecosystem without custom parsers.

How to use Skill MCP Server?

Install via pip install skill-mcp-server (or uv pip install skill-mcp-server), then add the server to your MCP client configuration with required --skills-dir and optional --workspace parameters. Run with uvx skill-mcp-server (recommended) or python -m skill_mcp_server. Once connected, agents can call tools like list_skills, skill, skill_script, file_read, and more.

Key features of Skill MCP Server

  • Highly standardized – strictly follows the MCP protocol
  • Universal compatibility – works with any MCP-compatible AI client
  • Zero-code integration – no need to build a Skill parser
  • Fully compatible – supports SKILL.md, scripts/, and references/ directories
  • Workspace isolation – specify output location via --workspace
  • Hot reload – add new skills without restarting the server
  • Secure by design – path validation and sandboxed file operations

Use cases of Skill MCP Server

  • Data Analysis – enable agents to perform data analysis using bundled scripts
  • Document Generation – let agents create professional documents from templates
  • API Integration – allow agents to integrate with specific APIs via skill instructions
  • Code Review – enforce team standards through skill-defined review workflows
  • DevOps Tasks – automate deployment pipelines and other operational workflows

FAQ from Skill MCP Server

What is the Model Context Protocol (MCP)?

MCP is a standard interface for AI, analogous to a “USB interface.” Any AI assistant that supports MCP can connect to various tools and services.

How do I create a skill?

A skill is a folder containing a required SKILL.md file (with YAML front-matter and instructions), optional scripts/ directory for executable scripts, and optional references/ directory for reference materials. The README provides a full example and format reference.

What tools does Skill MCP Server make available?

Seven tools: list_skills, skill, skill_resource, skill_script, file_read, file_write, and file_edit. These let agents browse skills, read instructions and references, execute scripts, and manage workspace files.

How do I configure Skill MCP Server?

Add an entry to your MCP client config (e.g., claude_desktop_config.json or ~/.claude.json) with the command uvx skill-mcp-server and arguments --skills-dir (path to your skill folders) and --workspace (output directory for skill execution files). An alternative local‑install entry uses python -m skill_mcp_server.

Is Skill MCP Server secure?

Yes. The server includes path validation and sandboxed file operations, so skills cannot access resources outside their designated directories.

Frequently asked questions

What is the Model Context Protocol (MCP)?

MCP is a standard interface for AI, analogous to a “USB interface.” Any AI assistant that supports MCP can connect to various tools and services.

How do I create a skill?

A skill is a folder containing a required `SKILL.md` file (with YAML front-matter and instructions), optional `scripts/` directory for executable scripts, and optional `references/` directory for reference materials. The README provides a full example and format reference.

What tools does Skill MCP Server make available?

Seven tools: `list_skills`, `skill`, `skill_resource`, `skill_script`, `file_read`, `file_write`, and `file_edit`. These let agents browse skills, read instructions and references, execute scripts, and manage workspace files.

How do I configure Skill MCP Server?

Add an entry to your MCP client config (e.g., `claude_desktop_config.json` or `~/.claude.json`) with the command `uvx skill-mcp-server` and arguments `--skills-dir` (path to your skill folders) and `--workspace` (output directory for skill execution files). An alternative local‑install entry uses `python -m skill_mcp_server`.

Is Skill MCP Server secure?

Yes. The server includes path validation and sandboxed file operations, so skills cannot access resources outside their designated directories.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

ephemeraldew

Submitted by

junjun chen

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