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"Supabase" matching MCP servers:

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    A bridge between AI assistants like GitHub Copilot and Supabase databases, allowing AI to understand schema, assist with query writing, and provide context-aware suggestions related to your data model.
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    Enables querying Garmin health data stored in Supabase through natural language, providing access to VO2 max trends, activity breakdowns, sleep statistics, race predictions, heart rate zones, and training load metrics.
    7
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    Enables AI agents to query a personal knowledge vault with hybrid search, entity relationships, user highlights, and vault statistics over a Supabase/Postgres schema.
    MIT
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    Enables searching and retrieving job listings from a Supabase database (h.careers) with filters like location, level, salary, and work format.
    MIT
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    Enables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.
    22
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    MIT
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    Enables AI agents to search and retrieve relevant document content from existing embeddings stored in Supabase vector database. Provides semantic search capabilities to find document chunks based on similarity to query text without generating new embeddings.
    MIT
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    Agentic NewsAPI.org MCP server with semantic search, article versioning, ChromaDB retrieval, and Supabase persistence, enabling efficient news article access and management.
    MIT
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    RAG-enabled MCP server that uses Google Gemini for embeddings and Supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.
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    A personal semantic knowledge base that enables storing, searching, and retrieving memories and work history using natural language. It features vector-based search, tool discovery via a registry, and indexing of Cursor agent transcripts using Supabase or Postgres.
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    A Python MCP server for managing a classical musicians database in Supabase/PostgreSQL, enabling search, review, and enrichment of musician profiles from MusicBrainz and Wikidata.
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    Enables interaction with Supabase databases and n8n workflows through a JSON-RPC 2.0 MCP server. Provides database operations, vector search capabilities, and webhook-based workflow automation with secure API token authentication.