关键词 "seamless vector patterns" 的搜索结果, 共 24 条, 只显示前 480 条
A Go-focused Model Context Protocol (MCP) server that provides idiomatic Go code generation, style guidelines, and best practices. This tool helps Language Models understand and generate high-quality
This an Model Context Protocol (MCP) server that integrates Notion into your AI workflows. This server enables seamless access to Notion through MCP, allowing AI agents to interact with pages, databas
Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.
MCP server implementation for Keycloak user management. Enables AI-powered administration of Keycloak users and realms through the Model Context Protocol (MCP). Seamlessly integrates with Claude Deskt
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
This is a TypeScript-based MCP server that provides database interaction capabilities through ArangoDB. It implements core database operations and allows seamless integration with ArangoDB through MCP
Notion MCP Integration is a lightweight Model Context Protocol (MCP) server that seamlessly integrates with Notion's API to manage a minimalist personal to-do list through Claude. This project provide
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an MCP server and client.
A Meta MCP server that seamlessly scales LLMs to 1000+ MCP servers through automatic routing.
A demonstration of custom Model Context Protocol (MCP) implementation for arithmetic operations, containerized with Docker for seamless deployment.
This is a Model Context Protocol (MCP) server that provides comprehensive information about AWS Cloudscape Design System components, along with code generation capabilities for common Cloudscape patte
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
Seamlessly integrating APIs, advanced AI, and intelligent automation with Github & X, this state-of-the-art MCP framework revolutionizes server & client-side functionality. 🚀 With features like AI-pow
The VanMoof MCP Server implements the MCP specification to create a seamless connection between AI agents and key VanMoof services like VanMoof customer data, including bike details, VanMoof rider cit
A lightweight MCP Server for seamless integration with Microsoft SharePoint, enabling MCP clients to interact with documents, folders and other SharePoint resources. Developed by sofias tech
The NOVA MCP Security Gateway is a prompt-validation service that runs first in your Model Context Protocol (MCP) chain. It loads Nova rules (in .nov format), checks each incoming prompt against these
A decentralized P2P registry for MCP servers using BitTorrent-inspired protocols. Enables seamless tool discovery and delegation without central points of failure.
The Kubernetes MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Kubernetes APIs, enabling advanced automation and interaction capabilities for developers, op
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
An innovative Model Context Protocol hub that seamlessly connects your client with intelligent agents, enabling powerful cross-platform communication across multiple MCP ecosystems
Official MiniMax Model Context Protocol (MCP) JavaScript implementation that provides seamless integration with MiniMax's powerful AI capabilities including image generation, video generation, text-to
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
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