关键词 "Private Beta" 的搜索结果， 共 16 条, 只显示前 480 条
A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request exe
MCP server for interacting with cryptocurrency daemon RPC interfaces (BETA)
a private MCP server for accessing Linear
An MCP server that runs AI-driven venture capitalist agents (Fred Wilson, Peter Thiel, etc.), whose thinking is continuously enriched by Octagon Private Markets' real-time deals, valuations, and deep
MCPilot is an AI chatbot that integrates real-time tools like DuckDuckGo, Airbnb, and weather APIs. Built with MCP Servers, Gradio, and GROQ, it provides context-aware responses and smooth interaction
Mirror of
Deliver real-time investment research with extensive private and public market data.
This MCP server lets AI assistants access and search your private documents, codebases, and latest tech info. It processes Markdown, text, and PDFs into a searchable database, extending AI knowledge b
A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based research within Claud
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
MCP Server for Private GPT
I am Abinanda and I am Main Head of The project so I am Trying to make a Server like Hypixel in Mcpe With Private and Public+Paid Plugins
领先资产技术：小分子超氧化物清除剂 重大并购活动：与人工智能药物研发公司Exscientia合并 最新消息：宣布了用于治疗慢性心肌梗塞的先导药物REC-994令人鼓舞的2期临床试验数据 人工智能药物研发公司 Recursion 的核心使命是 Recursion 操作系统 (OS)，这是一个跨多种技术构建的平台，可不断扩展世界上最大的专有生物、化学和以患者为中心的数据集之一。 同时
谷歌推出了名为 Jules 的 AI 编程代理 (Coding Agent)，目前处于公开 Beta 测试阶段，需要申请，用户可以免费使用。 Jules 旨在帮助开发者修复错误、更新依赖、迁移代码和添加新功能。它与 GitHub 集成，异步执行任务。用户分配任务后，Jules 会在虚拟机中创建开发环境、安装依赖、编写测试、进行更改、运行测试并提交拉取请求，同时展示工作进展。 简单来说，它能
1. 本研究介绍了 PrefixProt，这是一个新颖的框架，它通过利用预训练蛋白质语言模型 (ProtLM) 上的前缀调整来实现可控蛋白质设计。它使用学习到的虚拟标记作为模块化控制标签，引导蛋白质生成朝着所需的结构和功能特性发展。 2. PrefixProt 最引人注目的特性在于它能够通过组合不同的虚拟标记来生成具有多种用户自定义属性（例如结构和功能）的蛋白质，而无需重新训练基础模型。这种组合
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