"author:AlexisWatanabe66" matching MCP servers:

Enables users to decompose raw prompts into structured typed blocks and compile them into Claude-optimized XML prompts through MCP tools, with block type listing for manual crafting.

Enables AI assistants and other MCP clients to read and manage personal finance data through LunchMoney's API v2, covering transactions, categories, tags, budgets, recurring items, manual and Plaid accounts, crypto holdings, and balance history. It offers full CRUD tools with type-safe validation and token-efficient responses.