关键词 "vector space" 的搜索结果, 共 24 条, 只显示前 480 条
A Model Context Protocol server for Google Workspace integration (Gmail and Calendar)
TypeScript MCP server for managing workspace databases with filesystem integration
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
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
This project is a Model Context Protocol (MCP) server that integrates with the Space Flight News API to provide up-to-date spaceflight-related news articles.
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).
MCP Server for Space Frontiers API
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
MCP server for semantic search with Qdrant vector database
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly
A TypeScript Model Context Protocol (MCP) server to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection
MCP Memory Server with PostgreSQL and pgvector for long-term memory capabilities
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentati
An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality
A Model Context Protocol (MCP) server implementation for the Portkey AI platform, providing a standardized interface for managing AI configurations, workspaces, and analytics.
MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database
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