iCreatAI News
Back to main site
Skip to content
#MCP / tool use
Oct 27Tue
  1. Hacker News AI58

    RFC AI Tooling: 40x fewer tokens while reading the RFC corpus

    A skill and an MCP server share a stdlib-only Python core that finds, reads and flags IETF RFCs on demand, marking superseded documents on every result and allowing section-level reads instead of whole documents. The project reports a median 41x token saving from reading single sections, and offers optional full-text search over ~9,800 RFCs via a downloaded SQLite/FTS5 section index. It replaces the unmaintained mcp-server-ietf and can be self-hosted over HTTP for cloud sessions.

  2. Hacker News AI58

    Offcut, design furniture by chatting with AI

    Offcut is a browser-based furniture design tool that connects to Claude or ChatGPT as an MCP connector, letting users describe a piece and have it appear as real boards with sizes, materials and joints. It also offers SketchUp-style drawing tools (Rectangle, Push/Pull, Move, Rotate) and recipes for cabinets, drawer boxes, shelving and fronts, plus a cut list with sheets laid out, numbered guillotine cuts and measured offcuts. The tool is free to use today with no card needed, and designs can be shared via view or edit links without the recipient needing an account.

  3. AWS Machine Learning Blog38

    Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

    This post shows how to build enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base using the AWS CDK in Python, deploying four stacks (knowledge bases, AgentCore Gateway, agent runtime, and dashboards) with one `cdk deploy --all` command. It contrasts classic single-shot RAG with agentic retrieval, where an agent on AgentCore Runtime routes questions across two managed knowledge bases (financial and weather) exposed as MCP tools through the Gateway, invoking the AgenticRetrieveStream API for grounded, cited answers. The solution also provisions two CloudWatch dashboards spanning seven telemetry layers plus on-demand and continuous evaluation, since agentic systems need observability to verify behavior.

Oct 24Sat
  1. AWS Machine Learning Blog34

    How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations

    Bayer Crop Science built the Agentic Decision Engine (ADE), a multi-agent natural language interface over its Connected Decision Engine, running on Amazon Bedrock AgentCore with LangGraph orchestration and 22 specialist agents. In its first phase, ADE resolves about 80 percent of user questions without an engineer in the loop, and exposing APIs through AgentCore Gateway cut per-API integration overhead by more than 99 percent. The post details five design decisions, production readiness work such as task-level observability and cost attribution, and ongoing operations with AWS Unified Operations.

Oct 23Fri
  1. AWS Machine Learning Blog38

    Adaptive agentic intelligence framework using Strands Agents

    The Adaptive Agentic Intelligence Framework (AAIF), built on Strands Agents, uses a small local language model (llama3.2:1b) as an orchestrator that routes routine requests to local SLMs via Ollama and complex requests to cloud models through Amazon Bedrock. The post walks through an IoT monitoring reference implementation with tools for device telemetry, local vision analysis, and Bedrock-based expert insights, and describes cloud-only, hybrid, and air-gapped deployment configurations. It also outlines converting tools into MCP servers for distributed tool calling and applying Amazon Bedrock Guardrails to the cloud inference path.

  2. AWS Machine Learning Blog20

    Securing Quick access from corporate networks with AWS PrivateLink

    This walkthrough explains how to connect on-premises data sources to Amazon Quick privately using AWS PrivateLink VPC endpoints and Quick VPC connections, so traffic stays off the public internet over Direct Connect or Site-to-Site VPN. It covers endpoint creation for website and API access, DNS resolution via Route 53 private hosted zones, endpoint policies, execution roles, data source VPC endpoints, required external domains, and enforcing VPC endpoint restrictions. It also addresses identity federation with IAM Identity Center and notes that browser sign-in still requires outbound access to public AWS sign-in endpoints.

  3. TechCrunch · AI62

    While Amazon blocks AI agents, Walmart rolls out the welcome mat

    Walmart announced an Agent Gateway, an MCP server that lets approved AI agents search its online inventory and make purchases for users, along with Agent Profiles rolling out next month that let customers authorize each agent, track its purchases separately, and set per-transaction approval or spending limits. The retailer also introduced terms for AI agents, stating its returns process applies even when an agent doesn't act as intended, and that agents cannot access payment information or act beyond the shopper's intent. The move follows Amazon's blocking of AI agents from making purchases on shoppers' behalf.

  4. The Verge · AI70

    Canva’s first AI image model plans designs before generating them

    Canva launched Canva Craft, its first image generation model, which uses a two-stage architecture to plan a design before generating an image for greater precision, consistency and control. It generates images at up to 2K resolution in more than 30 aspect ratios and was trained on millions of human-made templates from Canva's content library. Canva Craft is available now globally via Dream Lab, and the company plans to let AI agents connect through the Model Context Protocol and to release Craft-fast and Craft-ultrafast models.

  5. AWS Machine Learning Blog34

    Deploy AI in a HIPAA-eligible environment with Amazon Quick

    This AWS post explains how to deploy Amazon Quick, a HIPAA-eligible service, for healthcare workloads that touch protected health information, covering covered entities and business associates, the distinction between HIPAA-eligible and HIPAA-compliant, and the unstructured (knowledge base) and structured (Amazon Quick Sight) PHI data paths. It details the controls Amazon Quick provides—managed infrastructure, encryption, RBAC and SSO, CloudTrail and CloudWatch vended logs—alongside what it does not do, such as de-identification and lake-level governance handled by AWS Glue, Glue DataBrew, and Lake Formation. It closes with a fictional health plan walkthrough, irreversible day-zero decisions (customer managed key, identity model, ACL-aware knowledge bases), and a step-by-step implementation guide.

  6. AWS Machine Learning Blog38

    How Rescale built an AI triage agent with Strands Agents and AI-DLC

    Rescale used the open source AI-Driven Development Lifecycle (AI-DLC) framework on AWS to build an agent that classifies and routes nightly end-to-end test failures, going from problem definition to staging in five days and to production within weeks. The agent runs in Rescale's Argo Workflows CI/CD pipeline on Amazon EKS, uses Claude on Amazon Bedrock for classification, retrieves historical failure patterns from a knowledge base, and queries pod logs via MCP, producing structured remediation reports. In production, classification agreement with human triage rose from 44% to 68%, and time blocking production deployment while failures are analyzed fell 20%.

  7. Microsoft Research58

    Flint-interactive: A language for creating interactive data visualizations

    Microsoft Research introduces Flint-interactive, a language built on Flint that lets agents and developers create interactive data visualizations using high-level semantic events and update operators rather than low-level visualization code. Flint's compiler resolves raw triggers like clicks and drags into semantic events and translates update operators into rendered canvas changes, aiming to improve reliability and reduce generation cost. It supports presets such as linked-brush, a programming API for bespoke interactions, and connections between charts, tables, text, and application state.

Oct 21Wed
  1. Latent Space62

    Claude Mods: Flipping the Harness Inside Out

    The author describes Claude Mods, Claude Code plugins written as TypeScript or JavaScript functions that hook into events like prompts, tool calls and interface renders to customize the CLI and Desktop behavior, framing them as an early "Attention Interface" that users can shape themselves. He highlights the built-in You Should Know mod, which flags uncommitted work the agent might cause you to lose, and his own Next Steps Supervisor from the open-source ModSmith plugin, then compares Claude Mods with OpenAI's ChatGPT Intelligent UI and Cursor's PR Routing & Approval. He also notes downsides—noise (99 of 111 turns triggered his supervisor), token cost of roughly 5–6k input-equivalent tokens per check on a 50k-token session, and the fact that mods run unsandboxed with your permissions.

Oct 20Tue
  1. Mistral AI80

    Voxtral 3

    Mistral introduces Voxtral 3, a family of speech-to-text and text-to-speech models plus a LiveKit-based voice agent SDK that combines listening, reasoning, tool calling and speaking in one real-time streaming pipeline. It includes Voxtral Small Transcribe 3 for multilingual transcription with diarization and context biasing, Voxtral Mini TTS 3 for expressive speech in 35+ languages and 50+ dialects, and Pro Voice adaptation from 30 minutes of audio. It is available via Mistral's EU-hosted API or self-deployment, with pricing from $0.0035/min for batch transcription to $13 per 1M characters for TTS.

    Why it matters: The announcement details concrete model capabilities, benchmarks and pricing for teams evaluating real-time voice agents and sovereign speech deployment.

Oct 13Tue
  1. GitHub Blog · AI & ML38

    GitHub Copilot app for Beginners: How to teach Copilot about your codebase

    GitHub's beginner guide explains four ways to give Copilot project context: repository custom instructions in .github/copilot-instructions.md plus path-specific files in .github/instructions, agent skills in .github/skills for repeatable procedures, custom agents in .github/agents for broader specialized tasks, and MCP servers that connect Copilot to external tools and data sources such as Playwright. It suggests starting small by adding one convention you keep explaining to .github/copilot-instructions.md, and points to Awesome Copilot for community-shared examples.

Sep 26Sat
  1. GitHub Blog · AI & ML55

    GitHub Copilot app for Beginners: How to build custom workflows with canvases

    GitHub explains canvases in the GitHub Copilot app: customizable, bidirectional interfaces such as kanban boards, checklists, or dashboards that you create by entering the /create-canvas skill in an agent session and describing the workflow in plain English. The agent builds the interface in the right-side panel, and both you and the agent can update its shared state immediately without a separate sync step. Canvases are saved as extensions for reuse or team sharing, and ready-made ones are available through Awesome Copilot.