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Glama
boyonglin

skillsmp-mcp-lite

by boyonglin

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GITHUB_TOKENNoOptional. Raises GitHub API rate limit from 60 to 5,000 req/hour
SKILLSMP_API_KEYYesRequired. API key from https://skillsmp.com/docs/api
SKILLSMP_MCP_CLIENTNoOptional. Force --setup to configure a specific client (vscode, cursor, claude-desktop, claude-code, all)
SKILL_SCANNER_API_URLNoOptional. URL of an external Skill Scanner API server
SKILL_SCANNER_API_PORTNoOptional. Port for the auto-managed scanner server8000

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

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
skillsmp_search_skillsA

Search for AI skills using keywords from SkillsMP marketplace.

Use this tool to find skills by specific terms like 'SEO', 'web scraper', 'PDF', 'data analysis', etc.

IMPORTANT: Before starting any task, use this tool to check if there's an existing skill that can help complete the task more effectively.

Args:

  • query (string, required): Search keywords

  • page (number, optional): Page number (default: 1)

  • limit (number, optional): Items per page (default: 20, max: 100)

  • sortBy (string, optional): Sort by 'stars' or 'recent'

Returns: List of matching skills with name, description, author, and star count.

Examples:

  • "PDF manipulation" -> Find skills for working with PDFs

  • "web scraper" -> Find web scraping skills

  • "SEO optimization" -> Find SEO-related skills

skillsmp_ai_search_skillsA

AI semantic search for skills using natural language descriptions.

Use this when you need to find skills based on what you want to accomplish rather than specific keywords.

IMPORTANT: Before starting any complex task, use this tool to discover relevant skills that can help.

Args:

  • query (string, required): Natural language description of what you want to accomplish

Returns: List of semantically relevant skills that match your intent.

Examples:

  • "How to create a web scraper" -> Find skills for web scraping

  • "Build a dashboard with charts" -> Find data visualization skills

  • "Generate PDF reports from data" -> Find PDF generation skills

  • "Automate social media posting" -> Find social media automation skills

skillsmp_read_skillA

Read a skill's content directly from a GitHub repository (via GitHub API, fully online — no local clone) and optionally run Cisco Skill Scanner security analysis.

This tool fetches the SKILL.md content using the GitHub REST API, then optionally starts a local Skill Scanner API server (via uvx) and uploads the skill files as a ZIP for scanning. No files are written to disk. The skill is NOT installed — only read and scanned.

IMPORTANT: Use this to quickly load skill instructions and verify safety without manual steps.

Args:

  • repo (string, required): GitHub repository in 'owner/repo' format

  • skillName (string, required): Name of the skill to read

  • enableScan (boolean, optional): Run security scan (default: true, requires uv)

Returns: The full content of the skill's instructions (SKILL.md) with security scan results.

Examples:

  • repo: "existential-birds/beagle", skillName: "python-code-review"

  • repo: "LA3D/skillhelper", skillName: "code-reviewer", enableScan: false

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 3 tools

Disambiguation4/5

The two search tools are clearly differentiated by query type: one does keyword search, the other semantic/AI search. However, both return skill lists and could still be confused by an agent deciding which to use, though the descriptions and examples help disambiguate.

Naming Consistency4/5

All tool names share the 'skillsmp_' prefix and use a verb-based pattern. 'search_skills' and 'ai_search_skills' are consistent, while 'read_skill' deviates slightly in object singularity but remains predictable.

Tool Count5/5

With only 3 tools, the server is tightly focused on searching and reading skills. This count is well within the ideal 3-15 range and each tool serves a distinct necessary function for the marketplace discovery use case.

Completeness4/5

The tool surface covers the core workflows of discovering and inspecting skills. A minor gap is the lack of a direct 'get skill by ID' endpoint, but the search tools effectively fill that need and no obvious dead ends exist.

Maintenance

ActivityInactive
ResponsivenessNo issues