osulivan/skill4agent-mcp-server
by Various
MCP Server for skill4agent - Search and install AI skills via Model Context Protocol
MCP
osulivan/skill4agent-mcp-server
Added 1 June 2026
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
How to use
Install
npx @skill4agent/mcp-server Tools exposed
SKILL4AGENT_API_URL
Tested with
Claude Desktop
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
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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