Discover websites implementing the llms.txt standard by listing known compliant sites, with options to filter for specific file types.
MIT
134,682 tools. Last updated 2026-05-14 07:24
"llms.txt" matching MCP tools:
- Retrieve content from llms.txt URLs to access AI documentation or find references to additional llms.txt files, aiding developers in delivering context to AI IDEs.TypeScriptAGPL 3.0
- Verify if a website implements the llms.txt standard by checking for its presence at the specified URL.MIT
- Retrieve a summary of the VC Deal Flow Signal dataset: current period, active sectors, tracked startups, last refresh, update frequency, citation, and download links for CSV, JSON, RSS, and more.MIT
- Search the Octopus API catalog with grep-style semantics to efficiently find endpoints, sections, or steps without loading the full file.Mozilla Public 2.0
- Fetch up-to-date documentation for any library. Provide library ID, optional topic and version to get targeted documentation pages.Elastic 2.0
Matching MCP Servers
- AlicenseBqualityDmaintenanceA server that helps discover and analyze websites implementing the llms.txt standard, allowing users to check if websites have llms.txt files and list known compliant websites.Last updated22374MIT
- Alicense-qualityCmaintenanceMCP server that allows AI agents to fetch and process llms.txt documentation from various sources. Fetch documentation from any HTTPS URL and automatically convert HTML content to readable markdown.Last updated122MIT
- Create a structured survey to collect feedback from a group. Define questions with types like single choice, multi choice, text, scale, or matrix. Get a shareable URL to collect responses and a survey ID to retrieve results later.MIT
- Retrieve complete documentation content for MetaMask Embedded Wallets to understand SDK implementation, authentication flows, and integration guidance.MIT
- Generate HTML, JSON-LD, and structured content files from completed brand visibility audits to improve AI search ranking and citation rates.MIT
- Generate a standardized llms.txt file that defines how large language models interact with your website. Specify allowed URLs and permissions for AI agents.MIT
- Generate machine-readable permission guidelines for AI models by creating standardized llms.txt files that define how large language models should interact with websites.MIT
- Generate machine-readable permission guidelines (LLMs.txt files) for websites to define how AI models should interact with their content.MIT
- Generate machine-readable permission guidelines for AI models by creating standardized LLMs.txt files that define how large language models should interact with websites.MIT
- Analyze website visibility to AI agents by checking robots.txt, structured data, meta tags, and cross-border readiness to improve AI discoverability.MIT
- Retrieve all source URLs for fetching llms.txt files to match specific technologies. Use fetch_llms_txt to access sources, and explore llms-full.txt or llms-mini.txt if needed. SushiMCP assists in context delivery for AI IDEs.TypeScriptAGPL 3.0
- Analyze website technical elements for AI crawler compatibility, including robots.txt, llms.txt, schema.org, sitemaps, and Open Graph metadata.MIT
- Generate a standardized LLMs.txt file for any URL to define how large language models should interact with the website content.MIT
- Scrape documentation from single or multiple sources to create SKILL.md and reference files for LLM skills. Automatically detects llms.txt files or falls back to HTML scraping.
- Deploys JavaScript files to a Codehooks.io project, creating serverless APIs with built-in CORS and optional instant CRUD backends.
- Retrieve Better Auth LLMs.txt content to access comprehensive authentication framework documentation and configuration details for development.