EdgeOne Pages MCP
OfficialRelated Servers
Alternatives to EdgeOne Pages MCP
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceEnables the deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It integrates with edge functions and KV storage to provide fast content delivery and supports custom domain configuration.2546 npmMIT
- AlicenseBqualityDmaintenanceEnables deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It utilizes EdgeOne Pages Functions and KV storage for high-performance edge delivery of web applications.24 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to deploy and manage static websites via EdgeOne Pages, with one-click deploy and API support.-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to deploy and manage static websites directly on EdgeOne Pages. Provides simple one-click deployment with KV storage for hosting website files accessible through custom domains.-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to deploy and manage static websites directly through EdgeOne Pages. It provides a self-hosted solution for hosting website files using KV storage and managing content through the Model Context Protocol.-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to deploy and manage static websites on EdgeOne Pages using the Model Context Protocol. Supports one-click deployment and direct API access for content management.-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one deploys a folder or zip file for a built frontend, while the other deploys raw HTML content. There is no overlap or ambiguity between them, making it easy for an agent to select the correct tool based on the input type.
Both tools follow a consistent verb_noun pattern with 'deploy' as the verb, and the nouns ('folder_or_zip', 'html') clearly indicate the target. The naming is uniform and predictable across the set.
With only 2 tools, the server feels thin for a deployment service. While the tools cover basic deployment scenarios, typical MCP servers for such domains (like GitHub or cloud services) offer more operations (e.g., list deployments, update, delete, monitor status), suggesting this set is under-scoped and may leave gaps in agent workflows.
The server lacks essential operations for a deployment domain, such as listing existing deployments, updating or deleting them, checking status, or managing projects. This creates significant gaps that could cause agent failures when trying to perform full lifecycle management, as agents cannot retrieve or modify past deployments.