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qualityA multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.
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Why this server?
Monitors Supabase database changes and generates OpenAI embeddings, maintaining synchronized vector search capabilities. Directly mentions database and embeddings.
Why this server?
Allows users to query a SQLite database of fictional car data.
Why this server?
Provides RAG capabilities for semantic document search using Qdrant vector database. Focuses on document retrieval from database.
Why this server?
Provides read and write access to Airtable databases. Enables LLMs to inspect database schemas, then read and write records.
Why this server?
Allows creation and management of multiple Fireproof JSON databases with CRUD operations and querying capabilities.
Why this server?
Provides vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management.
Why this server?
Connects AI assistants to Notion workspaces, enabling them to view, search, create, and update Notion databases, pages, and content blocks.
Why this server?
Enables Cursor and Windsurf to safely interact with Supabase databases by providing tools for database management, SQL query execution.
Why this server?
A high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases, currently supporting MySQL and PostgreSQL databases.