Skill Mcp Server
@ephemeraldew
Skill Mcp Server について
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.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"skill-server": {
"command": "uvx",
"args": [
"skill-mcp-server",
"--skills-dir",
"/path/to/your/skills",
"--workspace",
"/path/to/workspace"
]
}
}
}ツール
7Load 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.
概要
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/, andreferences/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.
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