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Model Context Protocol

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Headlines · 10

  1. OpenAI upgrades ChatGPT plugins with MCP event automation

    At OpenAI DevDay 2026, OpenAI announced an upgrade to ChatGPT plugin extensions: developers can build in-app experiences in ChatGPT, give plugins a dedicated sidebar entry, build interactive panels for working alongside a conversation, or create viewers for supported file types, with plugin-building tools and a redesigned submission flow; OpenAI is also improving how plugins are sorted and recommended in the directory and in conversations, while users keep control over which plugins to use and approve access individually. Business, Enterprise, healthcare, and Education plans can connect supported ChatGPT plugins to a self-built site, letting team members sign in to the same app with their own permissions and their own connected data, and adding and managing automations has been simplified. OpenAI also said it is adding support for the proposed MCP event spec, so plugins can start automations when events occur in connected apps—for example, watching a project board for new tasks and drafting a plan from linked documents.

    DoNews · 🔥 9
  2. HexStrike AI v6.0 ships 150+ security tools for autonomous MCP agents

    HexStrike AI published v6.0 on GitHub, an MCP server that lets agents such as Claude, GPT and Copilot autonomously run 150-plus cybersecurity tools for penetration testing, vulnerability discovery and bug-bounty automation. The project describes a multi-agent architecture with 12+ autonomous agents, decision engines for tool selection and attack-chain discovery, and real-time visualization dashboards. It is developed by OTT Cybersecurity LLC and documents setup for MCP clients including Claude Desktop, Cursor and VS Code Copilot.

    GitHub Trending · Python · 🔥 9
  3. Open-source AI engineering curriculum trends on GitHub

    The open-source project "AI Engineering from Scratch" has appeared on GitHub's Python trending list. It describes 20 phases, 523 lessons and roughly 342 hours of material in Python, TypeScript, Rust and Julia, released free under an MIT license, with each lesson having learners implement algorithms such as backpropagation, tokenizers, attention and the agent loop from raw math before running the same thing through production libraries like PyTorch. It also offers focused Model Context Protocol (MCP) and Agent Skills routes plus preparation for Claude certification tracks, and can be installed as learning skills for coding agents including Codex and Claude Code.

    GitHub Trending · Python · 🔥 10
  4. Atlassian unveils Agentic Multiplayer Protocol, Rovo Work and Loom prompts

    At Team '26 Europe, Atlassian announced the Agentic Multiplayer Protocol (AMP), which gives AI agents an admin-assigned identity, authority and scope so they can work alongside humans in shared tasks and context. It also introduced Rovo Work for long-horizon, multi-step tasks that humans review and approve, and pitched Loom as a way to turn narrated screen recordings into agent prompts. For developers, Rovo Code Search brings source code into the Teamwork Graph and Data Context extends to Databricks, Snowflake and BigQuery; the company says its expanded MCP server exposes 200 tools and handles roughly 15 million tool calls a day.

    SiliconANGLE AI · 🔥 7
  5. AWS tutorial: building a voice travel concierge with AgentCore and Nova Sonic

    An AWS Machine Learning Blog tutorial walks through deploying a voice travel concierge on Amazon Bedrock AgentCore: Amazon Nova 2.5 Sonic handles real-time speech-to-speech, Strands Agents defines the agent, and AgentCore Gateway exposes airline backend endpoints as MCP tools, with Amazon Bedrock Knowledge Bases answering policy questions via RAG. The post says Nova 2.5 Sonic improves tool calling and multi-step agentic task completion and supports bidirectional streaming, asynchronous tool calls, latency masking and barge-in. The solution deploys with AWS CDK and a React front end on Amplify.

    AWS Machine Learning Blog · 🔥 5
  6. Anaconda launches agent swarms and AI red-teaming tools for enterprise platform

    Anaconda is expanding its enterprise AI platform beyond Python packaging with agent swarms, agentic security testing and production deployment capabilities built on its acquisitions of Kilo Code, Enkrypt AI and Outerbounds. The new Kilo Desktop brings swarms into Visual Studio Code with access to more than 500 models, local model execution and automatic model routing; on security, it offers autonomous red-teaming across more than 300 attack categories, runtime controls and a public Agent Incident Registry. Anaconda cites its own research that 63% of respondents are moving toward swarms, and Enkrypt research finding vulnerabilities in 73% of agent tools examined across over 25,000 MCP servers, while saying 95% of the Fortune 500 use its software.

    SiliconANGLE AI · 🔥 4
  7. MCP Trust Gaps Let Compromised AI Agents Spread Malicious Instructions

    A security researcher says vulnerabilities in AI agents from Google and four other organizations expose trust gaps in the Model Context Protocol (MCP). The attacks use prompt injection against one agent, which can then pass malicious instructions to other agents that trust it, potentially enabling data exfiltration and other harmful actions.

    Ars Technica AI · 🔥 3
  8. AWS adds SageMaker inference-optimization skill for coding agents

    AWS introduced the aws-ai-ml skill through the Agent Toolkit for AWS, giving MCP-compatible coding agents such as Kiro, Claude Code and Codex SageMaker AI inference optimization and benchmarking expertise. The skill load-tests existing endpoints and reports measured throughput, latency percentiles and concurrency, ranks instance types for models stored in S3, in SageMaker JumpStart or on Hugging Face Hub, compares two benchmark runs, and generates runnable SageMaker Python SDK v3 code. It can be installed locally via an npx command or used in a preconfigured image inside a private Amazon SageMaker Studio JupyterLab space.

    AWS Machine Learning Blog · 🔥 3
  9. AWS ships MCP server to promote Amazon Quick resources across accounts

    An AWS blog post details the Amazon Quick Resource Migrator, a sample Model Context Protocol server hosted on Amazon Bedrock AgentCore runtime that promotes Amazon Quick agents, action connectors, knowledge bases, flows and spaces from a development AWS account to production. It reads and recreates resources through the Amazon Quick (Quick Sight) API, replays source permissions in the target account, offers a read-only preview, is idempotent across re-runs, and writes versioned S3 backups with a restore tool. S3 documents behind knowledge bases are not copied, and connector credentials are created as placeholders and must be re-authenticated in the target account; full source is in an aws-samples repository.

    AWS Machine Learning Blog · 🔥 0
  10. Replit adds TikTok Ads MCP integration

    Replit announced on X that TikTok Ads MCP is now available in Replit, letting users connect a TikTok Ads account and bring advertising workflows into the workspace where they build. The post only links to the integrations page and gives no detail on supported tools, regional availability or pricing.

    Replit · 🔥 0

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