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    <title>llms.txt</title>
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    <updated>2026-06-18T07:53:06+00:00</updated>
    <id>https://links.biapy.com/guest/tags/3253/feed</id>
            <entry>
            <id>https://links.biapy.com/links/12618</id>
            <title type="text"><![CDATA[Is Your Site Agent-Ready?]]></title>
            <link rel="alternate" href="https://isitagentready.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12618"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scan your website to see how ready it is for AI agents. We check multiple emerging standards — from robots.txt and Markdown negotiation to MCP, OAuth, Agent Skills and agentic commerce.]]>
            </summary>
            <updated>2026-04-24T13:34:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10304</id>
            <title type="text"><![CDATA[MCP LLMS-TXT Documentation Server]]></title>
            <link rel="alternate" href="https://github.com/langchain-ai/mcpdoc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10304"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Expose llms-txt to IDEs for development.

llms.txt is a website index for LLMs, providing background information, guidance, and links to detailed markdown files. IDEs like Cursor and Windsurf or apps like Claude Code/Desktop can use llms.txt to retrieve context for tasks. However, these apps use different built-in tools to read and process files like llms.txt. The retrieval process can be opaque, and there is not always a way to audit the tool calls or the context returned.

MCP offers a way for developers to have full control over tools used by these applications. Here, we create an open source MCP server to provide MCP host applications (e.g., Cursor, Windsurf, Claude Code/Desktop) with (1) a user-defined list of llms.txt files and (2) a simple fetch_docs tool read URLs within any of the provided llms.txt files. This allows the user to audit each tool call as well as the context returned.

Related contents:

- [How to turn Claude Code into a domain specific coding agent @ LangChain](https://blog.langchain.com/how-to-turn-claude-code-into-a-domain-specific-coding-agent/).]]>
            </summary>
            <updated>2025-09-19T12:06:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10251</id>
            <title type="text"><![CDATA[The /llms.txt file]]></title>
            <link rel="alternate" href="https://llmstxt.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10251"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.

We propose adding a /llms.txt markdown file to websites to provide LLM-friendly content. This file offers brief background information, guidance, and links to detailed markdown files.

llms.txt markdown is human and LLM readable, but is also in a precise format allowing fixed processing methods (i.e. classical programming techniques such as parsers and regex).

- [llms.txt @ GitHub](https://github.com/answerdotai/llms-txt).
- [MCP LLMS-TXT Documentation Server @ GitHub](https://github.com/langchain-ai/mcpdoc).

Related contents:

- [Firecrawl LLMs.txt Generator @ GitHub](https://github.com/firecrawl/create-llmstxt-py).
- [A proposal for inline LLM instructions in HTML based on llms.txt @ Vercel](https://vercel.com/blog/a-proposal-for-inline-llm-instructions-in-html).
- [\#119: Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-sept25-rc2/).
- [A fun trick for getting discovered by LLMs and AI tools @ Cassidy Williams](https://cassidoo.co/post/ai-llm-discoverability/).]]>
            </summary>
            <updated>2026-02-02T10:24:56+00:00</updated>
        </entry>
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