Building a Simple MCP Server in Python
Have you ever tried connecting a language model to your own data or tools? If so, you know it often means writing custom integrations, managing API schemas, and wrestling with authentication.
Have you ever tried connecting a language model to your own data or tools? If so, you know it often means writing custom integrations, managing API schemas, and wrestling with authentication.
As artificial intelligence and machine learning (AI/ML) workflows grow in scale and complexity, it becomes harder for practitioners to organize and deploy their models. AI projects often struggle to move from pilot to production. AI projects often fail not because models are bad, but because infrastructure and processes are fragmented and brittle, and the original …
Read more “Build AI workflows on Amazon EKS with Union.ai and Flyte”
Nearly every snowboard trick carries a number. A 1080 means three full rotations. A 1440 means four. The convention is simple: add up every rotation around every axis and count in 180° increments. For decades it’s served as the sport’s universal shorthand for difficulty. Judges, coaches, and athletes all speak this language fluently. It’s also, …
Read more “Using Google Cloud AI to measure the physics of U.S. freestyle snowboarding and skiing”
The Fulu Foundation, a nonprofit that pays out bounties for removing user-hostile features, is hunting for a way to keep Ring cameras from sending data to Amazon—without breaking the hardware.
Many people use AI chatbots to plan meals and write emails, AI-enhanced web browsers to book travel and buy tickets, and workplace AI to generate invoices and performance reports. However, a new study of the “AI agent ecosystem” suggests that as these AI bots rapidly become part of everyday life, basic safety disclosure is “dangerously …
Read more “Most AI bots lack basic safety disclosures, study finds”
These are the results of one week or more training LoKr’s for Ace-Step 1.5. Enjoy it. submitted by /u/marcoc2 [link] [comments]
For years, GitHub Copilot has served as a powerful pair programming tool for programmers, suggesting the next line of code.
Query Auto-Completion (QAC) is a critical feature of modern search systems that improves search efficiency by suggesting completions as users type. However, existing approaches face fundamental challenges: traditional retrieve-and-rank pipelines have poor long-tail coverage and require extensive feature engineering, while recent generative methods suffer from hallucination and safety risks. We present a unified framework that …
Building cohesive and unified customer intelligence across your organization starts with reducing the friction your sales representatives face when toggling between Salesforce, support tickets, and Amazon Redshift. A sales representative preparing for a customer meeting might spend hours clicking through several different dashboards—product recommendations, engagement metrics, revenue analytics, etc. – before developing a complete picture …
Read more “Build unified intelligence with Amazon Bedrock AgentCore”
For developers building AI applications, including custom agents and chatbots, the open-source Model Context Protocol (MCP) standard enables your innovations to access data and tools consistently and securely. At the end of 2025, we introduced managed and remote MCP support for services like Google Maps and BigQuery, establishing a standard method for AI to connect …
Read more “Powering the next generation of agents with Google Cloud databases”