Experimental News Clipping Site

Tag: MCP servers

  • Anchore: Analyzing the top MCP Docker Containers

    —

    by

    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/analyzing-the-top-mcp-docker-containers/ Source: Anchore Title: Analyzing the top MCP Docker Containers Feedly Summary: If you pay attention to the world of AI, you’ll have noticed that Model Context Protocol (MCP) is a very popular topic right now. The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between…

  • Docker: Docker MCP Toolkit: MCP Servers That Just Work

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/mcp-toolkit-mcp-servers-that-just-work/ Source: Docker Title: Docker MCP Toolkit: MCP Servers That Just Work Feedly Summary: Today, we want to highlight Docker MCP Toolkit, a free feature in Docker Desktop that gives you access to more than 200 MCP servers. It’s the easiest and most secure way to run MCP servers locally for your AI…

  • Docker: Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/evaluate-models-and-mcp-with-promptfoo-docker/ Source: Docker Title: Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo Feedly Summary: Promptfoo is an open-source CLI and library for evaluating LLM apps. Docker Model Runner makes it easy to manage, run, and deploy AI models using Docker. The Docker MCP Toolkit is a local gateway that…

  • Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…

  • Cloud Blog: How to secure your remote MCP server on Google Cloud

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/how-to-secure-your-remote-mcp-server-on-google-cloud/ Source: Cloud Blog Title: How to secure your remote MCP server on Google Cloud Feedly Summary: As enterprises increasingly adopt model context protocol (MCP) to extend capabilities of AI models to better integrate with external tools, databases, and APIs, it becomes even more important to ensure secure MCP deployment.  MCP unlocks new…

  • Docker: How to Build Secure AI Coding Agents with Cerebras and Docker Compose

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/cerebras-docker-compose-secure-ai-coding-agents/ Source: Docker Title: How to Build Secure AI Coding Agents with Cerebras and Docker Compose Feedly Summary: In the recent article, Building Isolated AI Code Environments with Cerebras and Docker Compose, our friends at Cerebras showcased how one can build a coding agent to use worlds fastest Cerebras’ AI inference API, Docker…

  • Docker: MCP Security: A Developer’s Guide

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/mcp-security-explained/ Source: Docker Title: MCP Security: A Developer’s Guide Feedly Summary: Since its release by Anthropic in November 2024, Model Context Protocol (MCP) has gained massive adoption and is quickly becoming the connective tissue between AI agents and the tools, APIs, and data they act on.  With just a few lines of configuration,…

  • Simon Willison’s Weblog: Introducing gpt-realtime

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/1/introducing-gpt-realtime/#atom-everything Source: Simon Willison’s Weblog Title: Introducing gpt-realtime Feedly Summary: Introducing gpt-realtime Released a few days ago (August 28th), gpt-realtime is OpenAI’s new “most advanced speech-to-speech model". It looks like this is a replacement for the older gpt-4o-realtime-preview model that was released last October. This is a slightly confusing release. The previous realtime…