Schema | Skill MCP Server

Skill MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`workspace`	No	The directory path used for workspace file operations like file_read, file_write, and file_edit.
`skills-dir`	Yes	The directory where skill folders are stored for auto-discovery and loading.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
skillC	Load a skill to get detailed instructions for a specific task. No skills are currently available.
list_skillsA	List all available skills with their names and descriptions. Use this to discover what skills are available before loading one.
skill_resourceA	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').
skill_scriptB	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.
file_readB	Read a file from the workspace directory. Use this tool to read files generated by skills or modified by the user.
file_writeA	Create or overwrite a file in the workspace. Use this tool when a skill needs to generate output files.
file_editB	Edit an existing file in the workspace using search and replace. The old_string must exist in the file and should be unique.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ephemeraldew/skill_mcp'

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