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Search results for “MCP”

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90 results for “MCP”

  1. Kiro turns specifications into the work plan for coding agents

    #Kiro#AWS#Coding Agents

    locally or in the cloud. Kiro supports AGENTS.md, Skills, MCP, Open VSX extensions, and common shells. That makes it more like a structured agent workspace than a chat box next to the editor. Why it matters Many coding

  2. Neo turns AI agents into the next security surface

    #Neo Security#AI Security#AI Agents

    AI-enabled applications, browser extensions, plugins, MCP servers, and traditional software that gains new autonomous capabilities. What Neo actually does Neo is not pitching another chatbot interface. Its platform is

  3. Context.dev gives agents a web context API

    #Context.dev#Web Scraping#AI Agents

    web pages for changes. It offers REST access, SDKs, and an MCP approach. The most relevant part is the combination of web scraping and brand intelligence in one provider: an agent can read page text and also collect

  4. EdgeOne Makers wants to ship agents like web apps

    #EdgeOne Makers#Tencent Cloud#AI Agents

    built-in models, and deployment through Git, CLI, MCP, and IDE plugins. The current reason to look at it is the shift from EdgeOne Pages to EdgeOne Makers and the new agent support. What EdgeOne Makers actually does The

  5. Hermes Studio brings local AI agents into one workspace

    #Hermes Studio#Hermes Agent#AI Agents

    loops, and approval gates. Scheduled jobs, Kanban tasks, MCP servers, and communication channels can also be configured. For developers, the built-in launchers for Claude Code and Codex are especially relevant. Hermes

  6. Microsoft Agent Framework bundles agent building for teams

    #Microsoft Agent Framework#AI Agents#Developer Tools

    samples, active releases, and integrations around hosting, MCP, observability, and Microsoft Foundry. That makes the framework a concrete option for companies that want to place agents into existing systems under

  7. GitHub Taskflow Agent searches for vulnerabilities with workflows

    #GitHub Security Lab#Taskflow Agent#AI Security

    does The repository describes Taskflow Agent as an MCP-enabled multi-agent framework for YAML-driven workflows. It uses the OpenAI Agents SDK, Pydantic for validation, and Jinja2 for templates. In practice, a team

  8. Coder Agents Moves AI Coding Into Governed Workspaces

    #Coder Agents#AI Coding#Developer Tools

    wants agent execution, model access, prompts, skills, MCP connections and isolated workspaces to be managed centrally. That matters for teams experimenting with Claude Code, Codex or other agents but not wanting every

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