If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):The only MCP server you'll ever need!MindsDB lets you query data from 200+ sources, like Slack, Gmail, social platforms, and more, in both SQL and natural language.A federated query engine that comes with a built-in MCP server.100% open-source with 33k+ stars! https://t.co/wvoPEqP9lI ...

The only MCP server you'll ever need!MindsDB lets you query data from 200+ sources, like Slack, Gmail, social platforms, and more, in both SQL and natural language.A federated query engine that comes with a built-in MCP server.100% open-source with 33k+ stars! https://t.co/wvoPEqP9lI ...

Core Insights - The launch of the performance review Agent and three MCP Servers marks a significant milestone in the domestic AI investment research sector, enhancing the capabilities of the AI investment research tool "AI Jinbao" [1][4]. Group 1: Product Launch and Features - The newly launched MCP Server standardizes the interaction between AI models and external tools, aiming to reduce development costs and improve interaction efficiency [2]. - The performance review Agent is designed to provide efficient analysis and interpretation of financial reports, significantly increasing processing efficiency by over 10 times compared to traditional methods [4]. - The performance review Agent offers three types of review templates: detailed, concise, and user-customizable, allowing users to tailor the output to their preferences [4]. Group 2: Market Position and Coverage - As of mid-2025, the platform aims for full coverage of public funds and has already reached over 91.36% coverage of large investment institutions, including banks, trusts, and insurance companies [5]. - The platform has hosted over 500,000 investment research roadshow meetings, with an average daily increase of about 400 meetings, indicating its leading position in the financial roadshow and AI investment research sectors [5]. Group 3: Technological Development and Future Plans - The company has continuously improved its roadshow meeting system since its establishment in 2013, integrating various technologies to enhance service efficiency and compliance [6]. - Future plans include expanding the Agent matrix to cover more areas of investment research, such as event reviews and industry overviews, further solidifying its leadership in the "AI + financial vertical" space [4][7].

Hello everyone. This is Tana from Llama Index and I want to walk you through the Llama Cloud MCP server that we created which is completely open sourced and this is the one that we created in Python uh which allows you to use Llama Cloud indexes and extraction agents as tools within any MCP client. And today I'm going to show you how um you can set it up to use with cloud desktop for example.So to start with, let's have a look at my Llama Cloud account. And you'll see that for example here I have two indexe ...

Now you can supercharge your terminal with MCP servers (open-source).MCP CLI lets you interact with local and remote MCP servers, built with a rich UI, and full LLM provider integration.You can run tools, manage conversations, or automate workflows directly from your terminal.Key features:- Multiple interaction modes: Chat, Interactive shell, Command mode, etc.- Live output with markdown, syntax highlighting, etc.- Tooling support: Auto-discovery, concurrent execution, and more.- Seamlessly switch between O ...

环球市场动态 人 民 币 汇 率 短 期 或 延 续 低 波 状 态 股 票 周四 A 股小幅下跌，但市场交易热 度持续；港股走弱，前一日领涨的 券商股回调；欧洲股市普遍上涨， 以色列伊朗局势缓解令情绪回暖； 美股三大指数齐涨，标指再度接近 历史新高，市场对潜在降息的乐观 预期表现正面。 外 汇 / 商 品 2025 年 6 月 27 日 123 ▪ 今年 6 月以来，人民币汇率呈现 "低波 + 韧性" 的特征，并基本实现 "三价合一"。归因来看，美元指数的趋 势性走弱、国内基本面托底和政策发力、央行稳汇率操作更加灵活、客盘结汇需求释放等成为人民币汇率韧性 的重要来源。往后看，美国对华存量关税对于出口的压力仍不可忽视，但对于汇率而言更为关键的在于国内消 费等政策的对冲力度、以及中美关税缓和期过后的中美经贸磋商进度。在央行灵活的稳汇率政策操作下，预计 人民币汇率短期或延续低波状态。 ▪ 重点新闻：中美签订关税谅解，美国将在中国交付稀土后取消贸易反制；美国下修第一季度 GDP，多位美联储 官员暗示 7 月不会降息；美国 5 月份商品贸易逆差意外扩大；美国持续申领失业救济金人数升至 2021 年 11 月以来最高； ...

Core Insights - The consumption platform "What Worth Buying" has reported a significant increase in consumer decision-making efficiency driven by AI, leading to growth in consumption during the "618" shopping festival [2] - The company launched multiple AI products, including the AI engine "Fire Eye" AIUC engine, user-facing AI products "What Worth Buying" GEN2, shopping agent "Zhang Dama," and the foundational AI infrastructure product "Haina" MCP Server [2] - The AIUC engine has enhanced product selling points, risk warnings, and purchase suggestions, with a 15-fold increase in AIUC label recognition and a reduction in content review time to one-eighth of last year's duration [2] Company Developments - The "Haina" MCP Server has gained industry attention for its integration of data and content advantages in the consumer sector, offering unique value in richness, real-time capabilities, and neutrality [3] - The "Haina" MCP Server has been made available to various partners, including large models and intelligent terminal applications, facilitating extensive adaptation for AI applications [3] - In June, the overall content and product output from the "Haina" MCP Server exceeded 8 million, marking a nearly 80% increase compared to May [3]

Core Insights - The company is enhancing its AI infrastructure with the "Haina" MCP Server, which has released two new interfaces and expanded capabilities [1] - The "What Worth Buying" GEN2 has shown significant improvements in user experience and consumer decision-making efficiency, leading to increased sales [2] Group 1: AI Infrastructure Development - The "Haina" MCP Server has introduced two major interfaces: Content Search Pro and Image Search capabilities, with the relevance of search results improving from 90% to 95% [1] - The Image Search API now supports 20 million product images across 16 major categories and 1,700 subcategories, facilitating more precise product searches for users [1] - In June, the overall content and product output from the "Haina" MCP Server exceeded 8 million, marking a nearly 80% increase compared to May [1] Group 2: Performance Metrics of GEN2 - The "What Worth Buying" GEN2 has enhanced product functionality and user experience, significantly improving consumer decision-making efficiency [2] - During the "6·18" shopping festival, the average GMV per user on the GEN2 platform increased by 15.1% year-on-year [2] - The order conversion rate achieved through the platform's AI shopping assistant rose by 162.6% year-on-year [2]

既然 MCP 在大模型应用开发中如此重要，要从 0 到 1 开发出一款 MCP Server 到底难不难？ 作者 | 冬梅 硅谷的咖啡厅里，永远流传着这样的传说：一个天才开发者，一台电脑，一段颠覆行业的代码。但当 31 岁的 Maor Shlomo 在特拉维夫的公寓里敲下 Base44 的第一行代码时，他没想到这个故事会以 8000 万美元的现金收购落幕——没有风投加持，没有百人团队，只有 8 名员工和 180 天的闪电战。 AI 正在快速发展，大语言模型处于这一变革的前沿。随着这些模型在理解和生成类人文本方面日益 精进，将其与外部系统集成的需求也显著增长。这种集成有望开启一个全新的应用时代，使之能够利 用真实世界的数据和工具来增强功能，并提供更符合语境的响应。 然而，将大语言模型连接到外部资源的传统方法通常需要针对每个数据源进行复杂且定制化的实现， 从而导致架构碎片化且难以扩展。 Anthropic 的模型上下文协议 (MCP) 应运而生，成为应对这些挑战的关键解决方案。 过去，如果我们想让 AI 处理数据，通常只有两种选择：要么依赖预训练好的静态知识库，要么手动 上传数据。这种方式不仅效率低下，还存在明显 ...

Core Insights - The conference highlighted the integration of AI, data, and the MCP (Multi-Channel Protocol) in redefining logistics APIs, showcasing the launch of China's first intelligent logistics network map and the MCP Server by Kuaidi100 [1][17][20] - The successful application of AI in logistics is contingent upon high-quality data, as emphasized by industry statistics indicating that 70% of AI projects fail due to poor data quality [2][5] Group 1: AI and Data Integration - Kuaidi100's intelligent logistics network map integrates over 3,000 logistics companies, covering 4,000 transfer centers, 9,800 transport routes, and 240,000 delivery points, with an annual average of 1 billion shipments [3][5] - The formula for successful AI applications is defined as model capability multiplied by data and business scenarios, guiding both technological innovation and traditional business transformation [2][3] Group 2: MCP Server and API Economy - The MCP Server simplifies the integration of logistics APIs for developers, allowing for efficient and secure access to external data sources without deep coding knowledge [6][7] - Kuaidi100's MCP Server has been integrated with major AI platforms, enhancing the discoverability and usability of its logistics services [6][8] Group 3: Intelligent Time Estimation - The "intelligent time estimation" feature of the Kuaidi100 API allows for minute-level predictions and hour-level certainty regarding delivery times, enhancing customer experience and operational efficiency [9][10] - This feature supports various scenarios, including pre-shipment and in-transit estimations, catering to different customer needs and reducing anxiety related to delivery times [10][12] Group 4: Industry Applications and Future Outlook - The intelligent time estimation capability is applicable across various sectors, including e-commerce, healthcare, and O2O services, transforming logistics from reactive to proactive management [12][14][16] - Kuaidi100 aims to lead the digital and intelligent transformation of the logistics industry over the next fifteen years, building on its past achievements in digitalization [18][20]