mlytics-bulldozer-mcp-server
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A Model Context Protocol (MCP) server implementation for managing Mlytics CDN sites and DNS records.
The Mlytics CDN MCP Server is a robust implementation designed to facilitate the management of CDN sites and DNS records through the Mlytics API. It allows users to create and manage CDN sites, check site statuses, add and list DNS records, update domain settings, and list available CDN providers. The server is built to be compatible with MCP clients and AI assistants that support the Model Context Protocol, ensuring seamless integration and interaction. With a focus on ease of use, the server supports automated login via a headless browser to extract JWT tokens, as well as legacy API key authentication. This flexibility in authentication methods ensures that users can choose the most convenient and secure option for their needs. The server also provides a comprehensive set of tools for querying CDN performance reports, generating capacity forecasts, and accessing documentation in various formats, making it a versatile solution for CDN management.
Features
- Create and manage CDN sites
- Check site status and update domain settings
- Add and list DNS records
- List available CDN providers
- Query CDN edge performance reports
Tools
automated-login
Log in to Mlytics Portal with a headless browser and extract the JWT token
show-credit-info
Display the credit usage information of the current user
create-cdn-site
Create a new CDN site
check-site-status
Check the status of the domain name
list-dns-records
List all DNS records for the site
add-dns-record
Add new DNS records to the site
update-domain-settings
Update domain name settings
list-cdn-providers
List all available CDN providers
list-sites
List all CDN sites
query-cdn-edge-report
Query the CDN edge performance report for domain names
get-historical-reports
Retrieve historical usage data for DNS queries within a specified time period
query-guide
Query information from Guide.md document, support custom output format
capacity-forecast
Generate capacity planning forecasts, including historical analysis, forecasts and suggestions
