CDN.MN is an agent-ready global image CDN that optimizes and delivers images from an existing origin without requiring a site migration. It compresses, converts, resizes, caches, and serves images in modern formats with responsive delivery and global edge caching.
It is designed for both developers and autonomous AI coding agents. Agents can discover CDN.MN through SKILL.md, auth.md, llms.txt, OpenAPI 3.1, MCP, a CLI, and an SDK. The live MCP server exposes tools for website analysis, savings estimation, project creation, domain verification, origin configuration, cache purging, delivery verification, and other CDN operations. Mutating tools support dry runs and idempotency keys, while sensitive actions use scoped permissions and optional approval cards; billing changes always require human approval.
CDN.MN can analyze an existing website, estimate image savings, detect an integration strategy, create the project, rewrite image URLs, test delivery, and provide rollback steps. It supports a free starting path and is intended for websites, developers, agencies, and AI agents that need a programmable image optimization and delivery layer.
A startup from Newark, the United States that is founded by Andriy Khvetkevych, Serhii Bulakh.
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