A
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qualityD
maintenanceEnables semantic memory storage and retrieval with natural language queries, deployed on Vercel with PostgreSQL pgvector and OpenAI embeddings.
MIT
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com.vercel
com.supabase
ai.smithery
ai.smithery
"Managing Supabase and Vercel Integration" matching MCP servers:
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Astra DB MCP Serverofficial
AlicenseAqualityDmaintenanceA Model Context Protocol server that allows Large Language Models to interact with Astra DB databases, providing tools for managing collections and records through natural language commands.167241Apache 2.0
openserverless-mcpofficial
AlicenseAqualityBmaintenanceAn MCP server for OpenServerless that exposes action tools for creating, invoking, and managing API endpoints with integrated services like S3, PostgreSQL, Redis, and Milvus.81Apache 2.0- AlicenseAqualityCmaintenanceCline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.129MIT
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MCP MariaDB Serverofficial
Alicense-qualityCmaintenanceAn interface for managing and querying MariaDB databases that supports standard SQL operations alongside advanced vector and embedding-based search capabilities. It enables AI assistants to seamlessly integrate relational and vector data workflows through a standardized protocol.189MIT- Alicense-qualityDmaintenanceA high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.8MIT
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- Alicense-qualityDmaintenanceProvides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.MIT