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"Supabase" matching MCP servers:

  • A
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    quality
    D
    maintenance
    Enables Cursor and Windsurf to safely interact with Supabase databases by providing tools for database management, SQL query execution, and Supabase Management API access with built-in safety controls.
    10
    Apache 2.0
  • A
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    quality
    D
    maintenance
    Enables secure interaction with Supabase databases via the PostgREST API, supporting full CRUD operations and stored procedure calls. It utilizes the Dedalus MCP framework to provide encrypted credential handling and just-in-time token exchange.
    4
    MIT
  • F
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    quality
    D
    maintenance
    Enables minimal interaction with Supabase databases through 4 essential tools for data querying, mutations, file storage, and user authentication. Designed for 70% less context usage than standard implementations with auto-truncated results and simplified parameters.
    2
  • A
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    quality
    C
    maintenance
    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
  • A
    license
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    maintenance
    Exposes LangChain and Anthropic Claude capabilities as tools for generating production-ready RAG systems, Supabase vector stores, and document ingestion pipelines. It enables users to instantly scaffold AI infrastructure and document processing code through natural language prompts in MCP-compatible clients.
  • A
    license
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    quality
    A
    maintenance
    MCP-native memory layer for Claude Code, Cursor, Cline, Continue, and 16 other AI tools. Hybrid search (BM25 + pgvector + graph), self-hosted on Supabase + Vercel, 100% MIT, no paywall.
    2
    MIT
  • A
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    quality
    D
    maintenance
    Provides web crawling and RAG capabilities for AI agents, enabling scraping of websites, storing content in a vector database (Supabase), and performing semantic search over crawled data.
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    A generic Model Context Protocol framework for building AI-powered applications that provides standardized ways to create MCP servers and clients for integrating LLMs with support for Ollama and Supabase.
    9
    MIT
  • A
    license
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    quality
    D
    maintenance
    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
  • A
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    Not graded
    quality
    A
    maintenance
    This is an MCP server for PostgREST. It allows LLMs perform database queries and operations on Postgres databases via PostgREST. This server works with both Supabase projects (which use PostgREST) and standalone PostgREST servers.
    1,845
    2,870
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Agentic NewsAPI.org MCP server with semantic search, article versioning, ChromaDB retrieval, and Supabase persistence, enabling efficient news article access and management.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Web crawling and RAG implementation that enables AI agents to scrape websites and perform semantic search over the crawled content, storing everything in Supabase for persistent knowledge retrieval.
    2,233
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    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.
  • F
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    maintenance
    Integrates Claude with n8n and Supabase to provide semantic memory search, automated workflow orchestration, and multi-platform task creation. It enables persistent interaction storage and autonomous agent capabilities through a production-ready HTTP interface.