CDN.MN
Agent-ready global image CDN that AI agents can install and operate through MCP.
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Overview
Device-code registration, scoped access, a per-scope approval valve & instant revoke, machine-readable discovery (auth.md, llms.txt, OpenAPI, and the SKILL.md workflow), and the MCP server with 18 tools — the reads, public-site image analysis + savings estimates, project creation, cache purge, domain verification, and every production mutation behind a sensitive scope: hostname activation, adding funds, origin configuration, project archive, and applying the delivery configuration. Each runs on its own for an autonomous agent — except money, which always waits for your approval — or opens an approval card when you ask to be in the loop. The published @cdnmn/cli + @cdnmn/sdk let an agent detect, configure, rewrite, test, and verify straight from the project — honoring the repo’s AGENTS.md.
Installation
Installation instructions are not available yet.
Configuration
Configuration example is not available yet.
Capabilities
- Analyze website performance
Ask the assistant to run `analyze_website` on a public site to inspect its image pipeline and delivery setup.
- Estimate image savings
Use `estimate_image_savings` to quantify potential bandwidth and cost reductions from CDN-optimized image delivery.
- Create and configure projects
Have the assistant call `create_project` and `configure_origin` to set up a new CDN.MN project with your existing origin.
- Verify and activate domains
Request `verify_domain` to confirm origin ownership, then `activate_hostname` to enable production delivery.
- Purge cached content
Trigger `purge_urls` to invalidate specific cached objects after deploying updated site assets.
- Review analytics and billing
Ask for `get_analytics` and `get_billing` to check usage, savings, and current plan details.
Tags
- cloud-infrastructure
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