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  1. Embed this notice
    Simon Willison (simon@fedi.simonwillison.net)'s status on Friday, 06-Jun-2025 12:02:30 JST Simon Willison Simon Willison

    It's interesting how the major LLM API vendors are converging on the following features:

    - Code execution: Python in a sandbox
    - Web search - like Anthropic, Mistral seem to use Brave
    - Document library aka hosted RAG
    - Image generation (FLUX for Mistral)
    - MCP

    MIstral today: https://simonwillison.net/2025/May/27/mistral-agents-api/

    The rate MCP support rolled out in the major vendor APIs is pretty astonishing: OpenAI added it May 21st, Anthropic launched theirs May 22nd and now Mistral have launched theirs on May 27th!

    In conversation about 12 days ago from fedi.simonwillison.net permalink

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    • Tim Chambers repeated this.
    • Embed this notice
      Jeff Triplett (webology@mastodon.social)'s status on Friday, 06-Jun-2025 12:02:44 JST Jeff Triplett Jeff Triplett
      in reply to

      @simon It's the year of MCP....

      https://mastodon.social/@webology/114223252783320706

      In conversation about 12 days ago permalink

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        Jeff Triplett (@webology@mastodon.social)
        from Jeff Triplett
        🤖 For those not following the AI trends from home, 2025 will be the year of MCP. https://modelcontextprotocol.io MCP allows you to write applications for LLMs in a discoverable way and shares the service's menu of options. If you have data or a tool that you want to expose to an LLM so that it may work with it or use it, you probably want to build an MCP for it.

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