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osulivan/skill4agent-mcp-server

by Various

MCP Server for skill4agent - Search and install AI skills via Model Context Protocol

O

MCP

osulivan/skill4agent-mcp-server

Added 1 June 2026

#agent-skills #ai-skills #claude-desktop #claude-skills #claude-skills-library #mcp #mcp-client #mcp-server

Overview

An MCP server that enables searching and installing AI skills from skill4agent using the Model Context Protocol. It acts as a bridge between MCP-compatible clients and the skill4agent skill repository, allowing users to discover and add new skills programmatically.

Best for

Best for
Developers who need to integrate skill4agent skills into MCP-enabled tools or workflows.

Use cases

  • Searching for available AI skills from skill4agent
  • Installing selected skills directly into an MCP client
  • Automating skill discovery and integration in development workflows

Notes

An MCP server that enables searching and installing AI skills from skill4agent using the Model Context Protocol. It acts as a bridge between MCP-compatible clients and the skill4agent skill repository, allowing users to discover and add new skills programmatically.

2 stars on GitHub. Last updated 2026-02-20.

Use cases

  • Searching for available AI skills from skill4agent
  • Installing selected skills directly into an MCP client
  • Automating skill discovery and integration in development workflows

Pros

  • Straightforward TypeScript implementation, easy to understand
  • Focuses on a specific integration task, keeping scope small
  • Open source, allowing customization and contribution

Cons

  • Very low star count (2) suggests limited adoption or community support
  • Potential instability or lack of maintenance due to minimal engagement
  • Requires familiarity with MCP and skill4agent ecosystems

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Straightforward TypeScript implementation, easy to understand
  • Focuses on a specific integration task, keeping scope small
  • Open source, allowing customization and contribution

Cons

  • Very low star count (2) suggests limited adoption or community support
  • Potential instability or lack of maintenance due to minimal engagement
  • Requires familiarity with MCP and skill4agent ecosystems
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