llms.txt Tools

MikroORM llms.txt

Browse MikroORM documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.

mikro-orm.io/llms.txt

What is MikroORM's llms.txt?

MikroORM publishes an /llms.txt file that provides AI systems with a structured index of its documentation. It follows the llms.txt specification, organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what MikroORM offers and where to find details.

Pass
Spec
6
Sections
912
Links
72.2 KB
Size
~18.5k
Tokens

Sections: blog · changelog · search · versions · api · docs

Add MikroORM Docs to Your AI Assistant

Select your tool to see how to add MikroORM's llms.txt as a documentation source.

  1. 1

    Open any chat or composer panel

  2. 2

    Type @Docs and select "Add new doc"

  3. 3

    Paste the URL: https://mikro-orm.io/llms.txt

  4. 4

    Wait for the green dot (indexing complete)

  5. 5

    Reference @Docs in chat when asking about MikroORM

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

Frequently Asked Questions

MikroORM publishes its llms.txt at https://mikro-orm.io/llms.txt. This file provides a structured, markdown-formatted index of MikroORM's documentation that AI systems can consume to understand the project's APIs, guides, and references.

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of MikroORM's documentation so it can provide better code suggestions and answers about MikroORM.

MikroORM's llms.txt contains 6 sections and 912 documentation links in 72.2 KB (~18.5k tokens). Key sections include blog, changelog, search, versions, api, docs.

The concise llms.txt index is approximately 18.5k tokens (72.2 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, PostgreSQL and SQLite databases as well as usage with vanilla JavaScript.. MikroORM's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with MikroORM.

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

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