Python Configs & Rules

{ "mcpServers": { "linkedin-mcp": { "command": "uvx", "args": [ "--from", "git+https://github.com/stickerdaniel/linkedin-mcp-server", "linkedin-mcp-server", "--cookie", "${LINKEDIN_COOKIE}" ], "env": { "CHROMEDRIVER_PATH": "/Users/benno/bin/chromedriver" } }, "ms365": { "command": "npx", "args": [...

{ "mcpServers": { "perplexity-mcp": { "type": "stdio", "command": "perplexity-mcp", "args": [ "--model", "sonar-pro", "--reasoning-model", "sonar-reasoning-pro" ], "env": { "PERPLEXITY_API_KEY": "your-perplexity-api-key-here" } }, "context7": { "type": "http", "url": "https://mcp.context7.com/mcp",...

{ "mcpServers": { "fk2-mcp": { "type": "stdio", "command": "/media/cain/linux_storage/projects/finderskeepers-v2/services/mcp-session-server/venv/bin/python", "args": [ "/media/cain/linux_storage/projects/finderskeepers-v2/services/mcp-session-server/src/fk2_mcp_server.py" ], "env": {...

The Home Assistant add-on is maintained in a **separate repository**: [printernizer-ha](https://github.com/schmacka/printernizer-ha)

All code must include English comments:

{ "mcpServers": { "_notion": { "type": "stdio", "command": "npx", "args": [ "-y", "@notionhq/notion-mcp-server" ], "env": { "NOTION_TOKEN": "$NOTION_TOKEN" } }, "_supabase": { "type": "stdio", "command": "npx", "args": [ "-y", "@supabase/mcp-server-supabase@latest" ], "env": {...

paths:

The CCSF is designed as a conceptual simulation that can be run intellectually by language models to explore consciousness-related phenomena through structured thought experiments. Rather than claiming to induce actual consciousness states, it provides a framework for systematic exploration of...

**Recorded choices: Why X over Y, context, trade-offs**

飛騨アーキテクチャで何ができるのか？具体的なユースケースを紹介します。

description: Standards for installing packages with UV in StackOne. (project) globs: "**/pyproject.toml" paths: "**/pyproject.toml"

<!-- TO EVOLVE: Add invariants as they're discovered, not assumed. Examples:

{ "mcpServers": { "gemini-cli": { "type": "stdio", "command": "npx", "args": [ "-y", "gemini-mcp-tool" ], "env": {} } } }

{ "$schema": "https://cdn.jsdelivr.net/npm/@anthropic-ai/claude-code@latest/schemas/mcp.schema.json", "description": "MCP servers configuration for MAP Framework - EXAMPLE FILE", "_comment": "This is an EXAMPLE configuration. Copy to .mcp.json and adjust for your environment. Most users should rely...

Data accuracy is paramount. Double-check all transformations. Be honest about data limitations.

{ "mcpServers": { "nano_banana_tools": { "command": "python3", "args": ["mcp_servers/nano_banana_mcp.py", "stdio"], "env": { "PYTHONUNBUFFERED": "1", "STORAGE_PATH": "./stories" } } } }