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#MCP/Tool use

Oct 8

TodayOct 8Thu25 items
  1. SiliconANGLE · AI47

    Atlassian unveils Agentic Multiplayer Protocol for humans and AI agents to collaborate

    Atlassian announced the Agentic Multiplayer Protocol (AMP) at Team '26 Europe, a platform update designed to let humans and AI agents collaborate on shared context and tasks in one governed workspace. Agents receive administrator-assigned identities with defined authority and scope, and the company's Rovo Work mode handles multi-step tasks that humans review and approve. Atlassian's MCP server now exposes 200 tools and handles roughly 15 million tool calls daily.

  2. TechCrunch · AI43

    Natura's $99 Interface smart ring lets users control AI agents with a finger press

    Natura's Interface is a $99 smart ring that lets users ask AI agents to complete tasks with a finger press and also tracks heart rate, HRV, sleep, and activity. At launch it connects with Meta's Muse, Instinct, Grok Bot, Claude, ChatGPT, and more, with preorders expected next month and shipping slated for December or January. After a three- to six-month free period, Natura plans to charge a $9 monthly subscription.

  3. Rowan Cheung23

    GrokBot gains native X monitoring with four copy-paste routines

    Rowan Cheung shares four GrokBot routines enabled by its new native X monitoring, covering AI workflow discovery, brand mention tracking, prospect detection, and contact follow-ups. Each routine comes with a copy-paste prompt specifying schedules, search criteria, output formats, and Slack delivery. The routines are tailored for newsletter and marketing use cases, such as monitoring The Rundown's mentions and finding readers searching for AI newsletters.

  4. ClaudeDevs36

    How to build automations with Claude Managed Agents: https://claude.dev/blog/building-effective-agent-automations/ Deploy an agent that reads Slack/GitHub on a schedule (with credentials and memory) and posts updates. You can set it up with a Claude Code command and use the new API credits included in Max and Team.

    How to build automations with Claude Managed Agents: https://claude.dev/blog/building-effective-agent-automations/ Deploy an agent that reads Slack/GitHub on a schedule (with credentials and memory) and posts updates. You can set it up with a Claude Code command and use the new API credits included in Max and Team.

  5. Higgsfield AI34

    Introducing Higgsfield Katana, powered by Claude Motion. Our most powerful AI video editing tool, inside Claude. Upload a reference and create editable motion graphics, product launch videos, or aura-farming edits. Available now in Claude via Higgsfield MCP.

    Introducing Higgsfield Katana, powered by Claude Motion. Our most powerful AI video editing tool, inside Claude. Upload a reference and create editable motion graphics, product launch videos, or aura-farming edits. Available now in Claude via Higgsfield MCP.

  6. Claude Code · GitHub Releases56

    Claude Code v2.1.295 adds hook failure blocking and gateway controls

    Claude Code v2.1.295 adds onFailure: "block" for command and HTTP hooks, so a hook that cannot start, times out, or exits unexpectedly blocks the action. The release also adds an optional models list for Claude apps gateway upstreams, plus upstream_request_id in the inference audit event, and fixes a range of MCP, plugin, and terminal issues.

  7. Claude13

    When a question needs deeper analysis, send the dashboard to your analytics tool. When an animation needs finishing touches, open it in your video editor. See the full list of supported tools: https://claude.com/resources/articles/dashboards-and-motion

    When a question needs deeper analysis, send the dashboard to your analytics tool. When an animation needs finishing touches, open it in your video editor. See the full list of supported tools: https://claude.com/resources/articles/dashboards-and-motion

  8. Tessl Blog42

    Agent Skills Should Be Treated as Supply Chain Components

    Tessl's talk at AI Native DevCon London argues that agent skills, which can be markdown files with instructions and bundled material, act as supply chain components that can shape agent behavior. The author says reading SKILL.md once is insufficient because risks can sit in supporting files, updates, and workspace trust settings. He identifies the danger as the combination of private context, untrusted content, and external communication, and cites research scanning roughly 4,000 public skills for issues including malware-like behavior.

  9. Lauren Tan29

    if you use Grok Bot on Omarchy, or are building plugins for it, please let me know if you have any feedback or feature requests! Would be cool to see what interesting integrations we could support https://plugins.omarchy.org/?q=grok+bot#catalog

    if you use Grok Bot on Omarchy, or are building plugins for it, please let me know if you have any feedback or feature requests! Would be cool to see what interesting integrations we could support https://plugins.omarchy.org/?q=grok+bot#catalog

  10. TechCrunch · AI72

    Google launches unified Gemini agent for businesses, with consumer rollout later

    Google announced a unified Gemini agent that can plan and complete tasks on a user's behalf from a single interface, starting with businesses. The agent can connect to systems such as Google Workspace, Microsoft 365, Slack, Jira, and any MCP server, and it writes audit trails attributed to itself. Google said consumers will get the agent later.

  11. Google Cloud Tech38

    2️⃣ Gemini connects to the apps you already run like Workspace, Microsoft 365, Slack, Jira, Confluence, Git, Salesforce, ServiceNow, and any MCP server. Every tool call passes through our Agent Gateway to enforce policy and block data leaks.

    2️⃣ Gemini connects to the apps you already run like Workspace, Microsoft 365, Slack, Jira, Confluence, Git, Salesforce, ServiceNow, and any MCP server. Every tool call passes through our Agent Gateway to enforce policy and block data leaks.

  12. Artificial Ignorance52

    Charlie Guo maps the core primitives that make AI agents work over time

    The author argues that agent systems are converging on shared primitives grouped into doing the work, continuing the work, and delegating the work. These include instructions and skills, tools and connectors, sandboxes, sessions, compaction, schedules, and subagents. He also flags memory, proactivity, and agent identity as emerging areas still lacking settled standards.

  13. ClaudeDevs33

    Credits can be used with the Messages API, Claude Managed Agents, and the Agent SDK, but cannot be used with interactive Claude Code sessions. These credits also apply in third-party harnesses that accept a Claude API key.

    Credits can be used with the Messages API, Claude Managed Agents, and the Agent SDK, but cannot be used with interactive Claude Code sessions. These credits also apply in third-party harnesses that accept a Claude API key.

  14. SiliconANGLE · AI62

    Google Cloud launches Gemini agent for enterprise work across devices and apps

    Google Cloud introduced Gemini agent, a unified AI assistant that acts autonomously, generates code, and completes work across web, mobile, desktop, and third-party apps. It runs jobs on models matched to each task, including Gemini Flash and a flagship frontier model, with Anthropic Claude models also available. Hard spend limits per project let companies enforce budgets and charge AI costs to departments.

  15. Hailuo AI16

    Opus 5.5 on #MiniMaxDesign | Code Your Next Video Turn text into video—from code to motion. ✨ JavaScript Animation ✨ Motion Graphics ✨ Explainer Videos & Visual Storytelling ✨ Web & Product Demos More than a language model—it can interpret visuals and keep refining your creations.🎨

    Opus 5.5 on #MiniMaxDesign | Code Your Next Video Turn text into video—from code to motion. ✨ JavaScript Animation ✨ Motion Graphics ✨ Explainer Videos & Visual Storytelling ✨ Web & Product Demos More than a language model—it can interpret visuals and keep refining your creations.🎨

  16. meng shao49

    LangChain adds three Deep Agents Skills upgrades: tool binding, pinning, reloading

    LangChain has added three engineering upgrades to Skills in its Deep Agents framework: tool-binding Skills, pinned Skills, and mid-thread reloading. Tool-binding lets a SKILL.md declare tools via metadata.include_tools, so tools are injected only when the Skill is read, and pinned Skills inject full instructions before the next model call, skipping a round trip. Setting skills_metadata to None rescans the Skills library mid-thread without restarting, at the cost of invalidating the cache.

  17. Luma AI News46

    Luma Lets Creators Carry Claude Motion Animations into Its Video Tools

    Luma announced that Claude Motion animations can now open directly in Luma through an MCP connection, letting creators restyle them and reframe them to 9:16, 1:1, 4:3, or 21:9. Claude Motion, currently in beta on Claude Team and Enterprise plans, generates animated explainers from prompts, while Luma's Ray and Uni video models produce final video files.

  18. LangChain Blog67

    LangChain's Restock agent shows how to build a payment-capable AI agent

    LangChain built Restock, a sample office-supply agent that runs in Slack on Managed Deep Agents and pays through Stripe's Link wallet. The agent searches products, builds a cart, and pays over the Machine Payments Protocol, with the user approving the purchase in Slack and the payment in Link. The post uses a pens order at $22.18 to show the flow from request to confirmed order.

    Why it matters: The post walks through how an agent handles search, budget limits, Slack review, and Link approval, showing where each control sits outside the model.

Oct 7

Oct 7Wed
  1. Elvis Saravia67

    Tool-using multimodal models refuse harmful requests less often, NVIDIA study finds

    A NVIDIA study accepted at NeurIPS 2026 reports that multimodal models refuse harmful requests less reliably when they call tools. Refusal failures rise by up to 68.7% relative and by 17.7% on average across the models tested, including Claude Opus 4.6 and 4.7 and Gemini Agentic Vision. The authors attribute this to tool outputs crowding out the original harmful intent and to attention shifting toward describing tool results. Re-inserting the original request and image before the final response restores part of the lost refusals.

  2. ClaudeDevs22

    Use a compatible driver from @browser_use, @browserbase, @e2b, @daytonaio, or write your own based on the example drivers in the quickstarts. Quickstart: https://github.com/anthropics/claude-quickstarts/tree/main/computer-toolset Docs: https://platform.claude.com/docs/en/agents-and-tools/tool-use/browser-use-sdk

    Use a compatible driver from @browser_use, @browserbase, @e2b, @daytonaio, or write your own based on the example drivers in the quickstarts. Quickstart: https://github.com/anthropics/claude-quickstarts/tree/main/computer-toolset Docs: https://platform.claude.com/docs/en/agents-and-tools/tool-use/browser-use-sdk

  3. ClaudeDevs43

    Computer use and browser use toolsets are now built into the Python and TypeScript SDKs for Claude. The API tells you what Claude wants to click or type. Previously, you had to write your own loop and map clicks and keystrokes to commands, but the SDKs now run the loop and send actions to drivers.

    Computer use and browser use toolsets are now built into the Python and TypeScript SDKs for Claude. The API tells you what Claude wants to click or type. Previously, you had to write your own loop and map clicks and keystrokes to commands, but the SDKs now run the loop and send actions to drivers.

  4. Harrison Chase27

    One cool thing deepagents now supports: dynamically loading tools when is a skill is loaded Some skills require specific tools that you may not always want to have available. This now allows you to pair them With openai/anthropic models, it’s possible to do this in a way where it doesn’t break the prompt cache!

    One cool thing deepagents now supports: dynamically loading tools when is a skill is loaded Some skills require specific tools that you may not always want to have available. This now allows you to pair them With openai/anthropic models, it’s possible to do this in a way where it doesn’t break the prompt cache!

  5. Google for Developers38

    Build and test native Android apps seamlessly with @Antigravity. By connecting the @StitchByGoogle MCP and the Android CLI, the agent imports UI designs, converts them into native Jetpack Compose components, validates everything in an emulator, and executes the final build directly on a physical device. Get started with Antigravity today: https://goo.gle/4yCWX56

    Build and test native Android apps seamlessly with @Antigravity. By connecting the @StitchByGoogle MCP and the Android CLI, the agent imports UI designs, converts them into native Jetpack Compose components, validates everything in an emulator, and executes the final build directly on a physical device. Get started with Antigravity today: https://goo.gle/4yCWX56

  6. Elvis Saravia22

    Elvis Saravia describes building personal multi-agent teams with Opus 5.5

    Elvis Saravia reports that agent-to-agent communication with a personal agent, built on models like Opus 5.5, is already coordinating work faster and at higher quality than he can match. He describes progressing from individual Claude Code sessions to subagents, then a persistent team of eight specialized bots with his own orchestrator. He argues everyone should build a personalized agent orchestrator and says most apps like Code and Claude Desktop are behind.

  7. Google Cloud Tech34

    Antigravity agent plugins weigh eager versus lazy loading of MCP tools

    Google DevRel's James O'Reilly compares two ways Antigravity exposes local MCP tools from Agent Plugins to the model. Eager loading registers each tool as a top-level function with its full schema in every turn's system prompt, which speeds calls but consumes fixed tokens. Lazy loading, the plugin default, exposes tools through a proxy call_mcp_tool and reads schemas on demand, saving baseline context at the cost of an extra discovery step.

  8. Latent Space61

    Stacklok's Mecatl harness moves coding agents from desktops to the cloud

    Stacklok, founded by Kubernetes creators Craig McLuckie and Joe Beda, has released Mecatl, an open source cloud-native harness for coding agents on GitHub. Mecatl keeps the agent loop separate from the client, model provider, state store, and execution environment, and moves tool calling, session management, and memory into manageable systems. The article also covers ToolHive, an MCP platform, and an AI Gateway that is not yet open sourced, with a commercial enterprise control plane tying the pieces together.

  9. Elvis Saravia36

    DAIR.AI launches MCP tools for curated AI paper discovery

    DAIR.AI has introduced MCP tools that let Codex, Claude, or Grok bots discover and explore a curated index of top AI papers. The index covers papers the author featured on X over the last couple of years, and the tools support summarizing papers, building literature reviews, finding SOTA results, and visualizing papers. Further benchmarks and regular additions are promised in the coming weeks.