jlbloomer-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jlbloomer-mcp-servershow 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-mcpUsage
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-mcpDevelopment
# 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 docsLicense
MIT
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