Export AI skills to Qdrant vector database format for efficient storage and retrieval, enabling high-performance semantic search with payload filtering capabilities.
Store content in a vector database for semantic search and retrieval using embeddings. Save text with unique identifiers to enable similarity-based queries.
Store content in a vector database for semantic search and retrieval using natural language queries. Save text with unique identifiers to enable similarity-based information lookup.
An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
Enables recording, querying, and summarizing daily work entries with tags using a local SQLite database. Supports work logging, search, timeline queries, tag management, and automated reminders for tracking daily tasks.
Provides Claude with direct access to databases including SQLite, SQL Server, PostgreSQL, and MySQL, enabling execution of SQL queries and table management through natural language.