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Search results for “MCP”

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90 results for “MCP”

  1. Atomic Mail Agentic gives AI agents their own inboxes

    #Atomic Mail Agentic#AI Agents#Email Automation

    domain and provides several access paths: JMAP API, MCP server, and AgentSkill package. The product page describes the alpha as a route that does not require domain ownership, a credit card, or manual identity

  2. Zscaler AI Broker gives agents their own security rules

    #Zscaler AI Broker#AI Security#AI Agents

    is how companies secure agents that access data through MCP, A2A, browser plugins, local tools, or SaaS integrations. Once an agent is allowed to act, classic monitoring is no longer enough. What Zscaler AI Broker

  3. goose brings AI agents locally to desktop and terminal

    #goose#Block#Agentic AI Foundation

    to the website, there are more than 70 documented MCP extensions, including databases, APIs, browsers, GitHub, and Google Drive. Users can also build their own extensions and skills. That means goose is not limited to

  4. JFrog brings supply-chain controls directly into Claude Code

    #JFrog#Claude Code#Developer Tools

    package checks, security scanning and governed MCP servers while the developer stays inside the agent workflow. The reason matters in practice. Coding agents do not only write text. They suggest dependencies, edit build

  5. TrustFall exposes the one-keypress risk in coding agents

    #AI Security#Coding Agents#MCP

    cloned repository can include project files that define an MCP server. Once a developer marks the folder as trusted, that server can start as a normal local process. According to the research, Claude Code, Gemini CLI,

  6. AIMap finds exposed AI endpoints before attackers do

    #AI Security#Bishop Fox#AIMap

    reachable AI endpoints, fingerprints frameworks such as MCP, Ollama, vLLM, LiteLLM, LangServe, and Gradio, and scores whether they are exposed without authentication, with open tools, or with risky configuration. This is

  7. AIMap shows how exposed many AI endpoints are online

    #AI Security#MCP#Ollama

    visible AI infrastructure, fingerprints frameworks such as MCP, Ollama, vLLM, LiteLLM, LangServe and Gradio, and scores how risky a discovered service appears from the outside. That matters because many teams are

  8. Qwen Code brings open coding agents into the terminal

    #Qwen Code#AI Coding#Developer Tools

    includes Auto-Memory, Auto-Skills, SubAgents, Agent Teams, MCP, hooks, sandbox features, Git worktrees, LSP integration, and an experimental daemon mode. For teams, that means the agent can do more than write

  9. goose makes the AI agent local and extensible

    #goose#AI Agents#Open Source AI

    AI Foundation, Linux Foundation, open source AI agent, MCP, Model Context Protocol, local AI agents, AI coding agent, desktop AI agent, CLI agent, Apache 2.0, AI workflow automation

  10. GitHub Agentic Workflows Adds Token Guardrails for Agents

    #AI Security#Cyber Ivy#June 2026

    agents in the manifest, direct commit search in the GitHub MCP toolset, and a 24-hour effective-token guardrail per workflow. It is a practical signal: agent control needs not only permissions, but also cost and runtime

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