公开目录未提供摘要。
全面解析Mkusaka MCP Server PerplexityMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Mkusaka MCP Server Perplexity能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
公开目录未提供摘要。
MLOps workflow with a Model Control Plane (MCP) server for model management and deployment
Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.
A Model Context Protocol (MCP) server for advanced code analysis and editing with semantic search capabilities, enabling AI assistants to perform complex code operations through a standardized interface.
mcp server assistant for mock data
Playing around with MCP clients and servers
Built a MCP server for learning purpose
A pluggable and observable modular RAG framework that enables AI assistants to perform semantic search, document Q\&A, and knowledge base retrieval. It supports hybrid search, reranking, and multiple LLM backends through a standardized Model Context Protocol interface.
This project implements a custom Model Context Protocol (MCP) server designed to work seamlessly with AI-powered IDEs like Cursor and Claude Desktop. It allows users to interact with the Monad Testnet using natural language prompts within their IDE.
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
公开目录未提供摘要。
公开目录未提供摘要。
An MCP server with all of Monorail's capabilities
Bridges Motion's API with LLMs so you can manage tasks, search projects, check schedules, and more through natural conversation.
An MCP server that wraps the TMDB API, enabling search of movies and TV shows, retrieval of details, trending titles, recommendations, and streaming provider information.
An MCP server that allows users to search for movies, get detailed information, receive genre-based recommendations, and discover popular/trending films using OMDb and TMDb APIs.
Chemical safety intelligence for AI-assisted experiment design. 18 MCP tools for compatibility checks, hazard analysis, PPE, storage, waste disposal, mixing order, exposure limits, transport classification, regulatory compliance (8 jurisdictions), and signed audit reports. Supports 4,200+ chemicals in 5 languages.
Enables useful sales use-cases via MCP Server, for use within any common AI Chat









