关键词 "vector databases" 的搜索结果, 共 15 条, 只显示前 480 条
A Model Context Protocol (MCP) server enabling LLMs to query, analyze, and interact with Prometheus databases through predefined routes.
🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.
Manage your Redis Cloud resources effortlessly using natural language. Create databases, monitor subscriptions, and configure cloud deployments with simple commands. Streamline your Redis Cloud experi
🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and databas
A Redis Model Context Protocol (MCP) server implementation for interacting with Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve
MCP server for interacting with Neon Management API and databases
An MCP server that can connect to MySQL databases, which exposes the table structure as a resource, provides SQL query tools, and includes tips for common data analysis tasks.
SSE Versión of the MCPDatabases server
MCP Server that integrates a knowledge graph and a vector database based on SQLite
Easily connect to PostgreSQL databases via a plug-and-play MCP server. Supports SELECT, INSERT, UPDATE, and more with prepared statements, automatic connection handling, and full TypeScript support
AWS Aurora Postgres with Pgvector Extension MCP Server.
A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.
A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.
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