关键词 "structure" 的搜索结果, 共 13 条, 只显示前 480 条
A research level Model Context Protocol (MCP) server implementation providing AI-powered research capabilities through Perplexity's infrastructure without using any API key.
This is a simple MCP Server Framework that enables data to be passed through a structured messaging protocol, allowing seamless communication between clients and servers. It supports efficient data ex
An MCP Server for WolframAlpha's LLM API, able to return structured knowledge & solve math
A Model Context Protocol (MCP) server for Python package intelligence, providing structured queries for PyPI packages and GitHub repositories. Features include dependency analysis, version tracking, a
A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models. v0.2.8
A Model Context Protocol (MCP) server for financial advisory and bookkeeping, providing structured financial data and context for AI agents.
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.
Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains a set of interconnected Markdown documents that capture different
Claude Server is an MCP implementation that enhances Claude's capabilities by providing sophisticated context management across sessions, enabling persistent knowledge organization through hierarchica
A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game env
DreamFit是什么 DreamFit是字节跳动团队联合清华大学深圳国际研究生院、中山大学深圳校区推出的虚拟试衣框架,专门用在轻量级服装为中心的人类图像生成。框架能显著减少模型复杂度和训练成本,基于优化文本提示和特征融合,提高生成图像的质量和一致性。DreamFit能泛化到各种服装、风格和提示指令,生成高质量的人物图像。DreamFit支持与社区控制插件的无缝集成,降低使用门槛。 Dre
2021年7月,谷歌旗下DeepMind团队和欧洲生物信息研究所(EMBL-EBI)合作,发布由人工智能系统AlphaFold预测的蛋白结构数据库(AlphaFold Protein Structure Database)。这一数据库包含了AlphaFold人工智能系统预测的约35万个蛋白结构,覆盖包括人类以及20种生物学研究中常用模式生物(大肠杆菌、果蝇、斑马鱼、小鼠…)。在人类蛋白质组方面,A
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