Skip to main content
Glama
getting-started.md1.58 kB
# Getting Started This guide covers the minimal setup to run the Claude Skills MCP server in its current v1.0.0 two-package architecture. ## Quick Start (Cursor) Add to your Cursor MCP settings (`~/.cursor/mcp.json`): ```json { "mcpServers": { "claude-skills": { "command": "uvx", "args": ["claude-skills-mcp"] } } } ``` Restart Cursor. The lightweight frontend starts instantly and displays tools. On the first tool use, the backend downloads in the background. Subsequent uses are instant. ## Quick Start (CLI) Run the server locally with defaults: ```bash uvx claude-skills-mcp ``` ## Configuration (Current Version) If you need a config file with the current defaults: ```bash uvx claude-skills-mcp --example-config > config.json ``` Run with your config: ```bash uvx claude-skills-mcp --config config.json ``` Notes (v1.0.0): - Frontend (`claude-skills-mcp`) is a lightweight MCP stdio server and proxy. - Backend (`claude-skills-mcp-backend`) provides vector search over skills and runs over HTTP. - On first use, the backend is auto-installed and started in the background. ## Troubleshooting (Current) - First tool call shows "Loading backend...": expected on first run while backend downloads. - Ensure Python 3.12 is available and `uv` manages the environment. - For verbose logs: ```bash uvx claude-skills-mcp --verbose ``` ## Next Steps - Architecture details: see `architecture.md`. - API reference (tools and parameters): see `api.md`. - Usage patterns and examples: see `usage.md`. - Testing instructions: see `testing.md`.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/OrionLi545/claude-skills-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server