claude-skills-mcp-backend 1.0.0

Heavy backend for Claude Skills MCP server with vector search (Streamable HTTP)

Claude Skills MCP Backend

Heavy backend server for Claude Skills MCP system with vector search capabilities.

Overview

This is the backend component of the Claude Skills MCP system. It provides:

• Vector-based semantic search using sentence-transformers
• Skill indexing and retrieval
• MCP protocol via Streamable HTTP transport
• Background skill loading from GitHub and local sources

Note: This package is typically auto-installed by the frontend (claude-skills-mcp). You only need to install it manually for:

• Remote deployment (hosting your own backend)
• Development and testing
• Standalone usage without the frontend proxy

Installation

# Via uv (recommended)
uv tool install claude-skills-mcp-backend

# Via uvx (one-time use)
uvx claude-skills-mcp-backend

# Via pip
pip install claude-skills-mcp-backend

Usage

Run Standalone Server

# Default (localhost:8765)
claude-skills-mcp-backend

# Custom port
claude-skills-mcp-backend --port 8080

# For remote access
claude-skills-mcp-backend --host 0.0.0.0 --port 8080

# With custom configuration
claude-skills-mcp-backend --config my-config.json

# Verbose logging
claude-skills-mcp-backend --verbose

Configuration

# Print example configuration
claude-skills-mcp-backend --example-config > config.json

# Edit config.json to customize skill sources, embedding model, etc.

# Run with custom config
claude-skills-mcp-backend --config config.json

Endpoints

When running, the backend exposes:

• Streamable HTTP MCP: http://localhost:8765/mcp
• Health Check: http://localhost:8765/health

Docker Deployment

Build Image

docker build -t claude-skills-mcp-backend .

Run Container

# For local access
docker run -p 8765:8765 claude-skills-mcp-backend

# For remote access
docker run -p 8080:8765 \
  -e HOST=0.0.0.0 \
  claude-skills-mcp-backend --host 0.0.0.0 --port 8765

Dependencies

This package includes heavy dependencies (~250 MB):

• PyTorch (CPU-only on Linux): ~150-200 MB
• sentence-transformers: ~50 MB
• numpy, httpx, fastapi, uvicorn: ~30 MB

First download may take 60-180 seconds depending on your internet connection.

Performance

• Startup time: 2-5 seconds (with cached dependencies)
• First search: +2-5 seconds (embedding model download, one-time)
• Query time: <1 second after models loaded
• Memory usage: ~500 MB

Development

# Clone the monorepo
git clone https://github.com/K-Dense-AI/claude-skills-mcp.git
cd claude-skills-mcp/packages/backend

# Install in development mode
uv pip install -e ".[test]"

# Run tests
uv run pytest tests/

Related Packages

• claude-skills-mcp (Frontend): Lightweight proxy that auto-installs this backend
• Main Repository: https://github.com/K-Dense-AI/claude-skills-mcp

License

Apache License 2.0

Copyright 2025 K-Dense AI (https://k-dense.ai)