skills-master-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | HTTP port (when TRANSPORT=http) | 3000 |
| TRANSPORT | No | The communication transport to use (stdio or http) | stdio |
| SKILLS_MASTER_BACKEND_URL | No | Override backend endpoint |
Instructions
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.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| searchA | Search SkillsMP marketplace for AI coding skills by keywords. Parameters:
Returns skills with name, description, author, stars, and GitHub URL. |
| ai_searchA | Semantic search for skills using natural language queries. Powered by AI to understand intent. Use this when keywords aren't enough - describe what you want to accomplish. Parameters:
Examples: "tools for web scraping", "help with React testing", "automate deployments" |
| read_skillA | Read skill file content (SKILL.md) from a GitHub repository. Use to preview a skill before installing. Parameters:
If path has no skill.md, returns directory listing. |
| install_skillA | Install skills from GitHub to AI coding agents. Parameters:
Example: source="anthropics/claude-code", skills="frontend-design", agents="claude-code", global=false |
| remove_skillA | Remove installed skills from an AI coding agent. Parameters:
Removes the skill directory and associated symlinks from the agent's skills directory. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Most tools have distinct purposes: ai_search and search both handle searching but differ in approach (semantic vs keyword-based), while install_skill, read_skill, and remove_skill clearly manage skill lifecycle. The overlap between ai_search and search creates minor ambiguity, but their descriptions help differentiate them.
Tools follow a consistent verb_noun pattern with snake_case throughout (ai_search, install_skill, read_skill, remove_skill, search). The only deviation is 'ai_search' versus 'search' where the prefix clarifies the semantic approach, maintaining overall readability.
With 5 tools, this server is well-scoped for managing AI coding skills. It covers core operations: discovery (two search tools), installation, inspection, and removal. Each tool earns its place without bloat, fitting typical server scope expectations.
The toolset provides strong coverage for skill management: discover, preview, install, and remove. A minor gap exists in updating or modifying installed skills, but agents can work around this by removing and reinstalling. Core workflows are well-supported.