关键词 "item collection" 的搜索结果， 共 24 条, 只显示前 480 条
A collection of Medical MCP servers.
MCPilled.com is a collection of curated news about MCP servers, clients, protocol updates and everything else MCP
MCP server for Threat info collection in cyber security
A lightweight TypeScript middleware for MCP SDK servers that delivers analytics. Captures request metrics, performance data, and usage patterns with minimal overhead. Features real-time monitoring, co
Moderated collection of MCP servers
A Model Context Protocol (MCP) server for interacting with the Louvre museum's collection
A collection about MCP
Collection of MCP Servers ofr use with anthropic and other models
Collection of verified MCP servers and integrations
Collection of useful and secure MCP servers for various integrations and tasks
A collection of crypto MCP servers.
A collection of MCP clients.
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP se
A connector for Claude Desktop to work with collection and sources on your Zotero Cloud.
Use Model Context Protocol with multiple Fireproof JSON document databases
One API for Search, Crawling, and Sitemaps
Collection of Google-native tools (e.g., Gmail, Calendar) for the MCP
A collection of Model Context Protocol (MCP) servers for managing Palo Alto Networks firewalls and services
🔒 Reference MCP servers that demo how authentication works with the current Model Context Protocol spec.
MacPilot CLI is an open-source tool that enables interaction with macOS through the MCP. It provides a collection of system tools that allow AI assistants to perform various operations on macOS system
The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve
ContextGem：轻松从文档中提取 LLM ContextGem 是一个免费的开源 LLM 框架，它可以让您以最少的代码更轻松地从文档中提取结构化数据和见解。 💎 为什么选择 Contex
VACE（Video Creation and Editing）是阿里巴巴通义实验室推出的一站式视频生成与编辑框架。基于整合多种视频任务（如参考视频生成、视频到视频编辑、遮罩编辑等）到一个统一模型中，实现高效的内容创作和编辑功能。VACE的核心在于Video Condition Unit（VCU），将文本、图像、视频和遮罩等多种模态输入整合为统一的条件单元，支持多种任务的灵活组合。开源的 Wan2
WebThinker是中国人民大学、北京智源人工智能研究院和华为泊松实验室等机构提出的深度研究智能体。WebThinker赋能大型推理模型（LRMs）在推理过程中自主进行网络搜索、网页导航和报告撰写。WebThinker基于深度网页探索器和自主思考、搜索、写作策略，让LRMs能动态获取信息，实时生成高质量研究报告。WebThinker基于强化学习的训练策略进一步优化工具使用效率。WebThinke
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