How do I use jlbloomer-mcp-server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@jlbloomer-mcp-server show me my custom prompts for code review" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

jlbloomer-mcp-server

Personal MCP (Model Context Protocol) server for AI assistant integration.

Requirements

Python 3.14+
UV package manager

Quick Start

# Clone and enter directory
cd /path/to/mcp

# Install dependencies
uv sync

# Run server
uv run jlbloomer-mcp

Usage

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "jlbloomer-mcp": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp", "run", "jlbloomer-mcp"]
    }
  }
}

Claude Code

claude mcp add jlbloomer-mcp -- uv --directory /path/to/mcp run jlbloomer-mcp

Development

# Install with dev dependencies
uv sync --extra dev

# Run tests
uv run pytest

# Lint
uv run ruff check .

# Type check
uv run mypy src/

Project Structure

mcp/
├── src/mcp_server/     # Main package
│   ├── server.py       # Entry point
│   ├── tools/          # MCP tools
│   ├── resources/      # MCP resources
│   └── prompts/        # MCP prompts
├── tests/              # Test suite
└── specs/              # Specification docs