关键词 "Vector Storage" 的搜索结果, 共 24 条, 只显示前 480 条
Spring ai, mcp server, aws bedrock, pg vectore store. mcp using sync SSE transport.
A secure Model Context Protocol (MCP) server for file system operations. Enables AI assistants like Claude and Cursor to access, read, write, and manage files on your system with robust path validatio
A code repository indexing tool to supercharge your LLM experience.
LanceDB MCP Server nodejs
🗂️ 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
Official Vectorize MCP Server
MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
A MCP Server to query a Azure Table Storage for local development
Mirror of
Volume Wall Detector MCP delivers real-time stock volume analysis and imbalance tracking with MongoDB storage, powered by the open Model Context Protocol (MCP).
A lightweight MCP server that loads PDF files, extracts and chunks their text, builds a semantic vector index, and returns relevant passages to Claude or other AI agents for document-based question an
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector
A lightweight MCP server implementation that leverages PGLite and pgvector to perform efficient similarity searches on local Markdown documents using the Model Context Protocol (MCP).
This is a MCP server I built to interact with my hybrid graph rag db.
Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities
YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic sear
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