Extract webpage content as Markdown formatted text, tailored for large language models. Supports custom CSS selectors, link inclusion, and length limits via Concurrent Browser MCP.
Generate machine-readable permission guidelines for AI models by creating standardized llms.txt files that define how large language models should interact with websites.
Generate machine-readable permission guidelines for AI models by creating standardized LLMs.txt files that define how large language models should interact with websites.
Generate a standardized llms.txt file for any website to define how AI models should interact with the site, creating machine-readable permission guidelines for large language models.
Retrieve SFRA documentation filtered by functional categories like core classes, product models, order/cart functionality, customer management, pricing, or store models to explore related documentation and understand functional groupings.
Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.
Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.
TypeScript-based MCP server designed to enhance code editing experiences by providing features such as hover information, code completion, and diagnostics.