K-Dense-AI/claude-skills-mcp
K-Dense-AI/claude-skills-mcp is a Model Context Protocol (MCP) server that provides intelligent search capabilities for Claude Agent Skills, enabling any AI model or client application to discover and use these skills natively. It acts as a bridge between the Claude ecosystem and external AI systems by exposing a semantic search interface that maps natural language task descriptions to relevant pre-built skills. The server can be self-hosted, allowing privacy-conscious deployments where skill data remains on-premises. Under the hood, the server indexes a curated library of Claude Agent Skills—modular, domain-specific capabilities originally developed for Anthropic's Claude AI. When an external model or client submits a query describing what it wants to accomplish, the server performs a relevance search and returns the most appropriate skills along with their invocation instructions. This allows any MCP-compatible agent to dynamically extend its functionality without prior integration work. Key features include multi-platform support (Python, macOS, Windows, Linux), cloud and local deployment options, and a straightforward API that aligns with the MCP specification. The skill search is designed to be model-agnostic, meaning it works equally well with language models from different providers, as long as they can communicate via MCP. This makes it a valuable component in heterogeneous AI stacks where multiple models need shared access to specialized tools. Note: As indicated in recent commits, the project may no longer be actively maintained, but its architecture and code remain available for continued use or forking.
- Category
- Developer Tools
- Pricing
- Open Source
Problem solved
AI models, especially open-source or third-party ones, often lack specialized skills that exist in the Claude ecosystem (e.g., advanced coding, math, or domain-specific reasoning). Without a common interface, developers must manually port or reimplement these skills. Claude-skills-mcp solves this by providing a unified search and retrieval layer that lets any MCP-compatible model discover and execute Claude Agent Skills on the fly, reducing duplication and enabling rapid capability expansion.
Use cases
- A developer building a custom AI coding assistant uses the server to instantly fetch a Python debugging skill when the model encounters an unfamiliar error.
- An enterprise with a multi-model platform integrates the MCP server to give all its assistants access to Claude's advanced reasoning skills for financial analysis.
- A hobbyist running a local language model uses the search tool to find a data visualization skill, allowing their bot to generate charts without building the feature from scratch.
- A research team experimenting with skill composition chains together multiple Claude Agent Skills via the MCP interface to prototype complex workflows.
- A platform provider offers a 'bring your own skill' marketplace where models can query and use third-party skills discovered through the MCP server.
Audience
- Developers
- ML Engineers
- Data Scientists
Pros
- Bridges Claude Agent Skills to any MCP-compatible model or client, promoting reuse.
- Simple semantic search interface for discovering skills by natural language description.
- Cross-platform and self-hostable, ensuring data privacy and flexibility.
- Follows the open MCP standard, easing integration with existing agent frameworks.
- Lightweight Python implementation, easy to extend or modify.
Cons
- Project may be unmaintained, as indicated by the latest commit message.
- Limited to the quality and scope of the underlying Claude Agent Skills library.
- Requires self-hosting, which may be a barrier for non-technical users.
Official website: https://github.com/K-Dense-AI/claude-skills-mcp
Canonical LambdaBase page: https://www.lambdabase.com/tools/k-dense-ai-claude-skills-mcp