sacloud-mcp
OfficialRelated Servers
Alternatives to sacloud-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityFmaintenanceAn MCP server implementation that enables AI assistants to interact with and manage Sakura Cloud infrastructure, including servers, disks, networks, and containerized applications.4610 npm11ISC
- AlicenseCqualityDmaintenanceA Model Context Protocol server for the Hetzner Cloud API that enables natural language management of cloud infrastructure. Users can list, create, and modify servers, networks, volumes, and load balancers through MCP-compatible clients.67477 npmMIT
- FlicenseBqualityDmaintenanceAn MCP server that provides tools for interacting with AWS S3 buckets, enabling direct access to S3 operations through the Model Context Protocol.1-
- FlicenseNot gradedqualityDmaintenanceAn MCP Server that provides a natural language interface to Google Cloud Resource Settings API, enabling users to view and manage settings for Google Cloud resources through conversation.-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables interaction with Google Cloud's Workload Manager API, allowing users to manage workloads through natural language commands.-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.-
TDQS
Scored across 41 tools
Most tools are clearly distinct by resource type and action, such as create_server vs. get_server_list. However, some potential confusion exists between get_manual_outline and get_api_manual_outline, which both fetch manual outlines but for different documentation sets, and between get_loadbalancer and attach_servers, which both involve load balancers but with overlapping purposes. Overall, the descriptions help clarify distinctions, but minor ambiguities remain.
The tool names follow a highly consistent verb_noun pattern throughout, such as create_server, get_server_list, delete_router, and start_server. All tools use snake_case uniformly, with verbs like create, get, delete, start, stop, and read applied predictably across resources. This consistency makes the tool set easy to navigate and understand.
With 41 tools, the count is excessive for a single server, making it overwhelming and difficult for agents to manage. While the domain (Sakura Cloud API) is broad, the tool set includes many specialized or redundant tools, such as multiple manual-reading tools and separate billing/coupon tools, which could be consolidated. This high number detracts from usability and coherence.
The tool set provides comprehensive coverage for core cloud infrastructure operations, including CRUD for servers, disks, routers, switches, and load balancers, along with monitoring, billing, and documentation tools. Minor gaps exist, such as missing update operations for some resources (e.g., update_server) and limited object storage management beyond listing, but agents can likely work around these with the available create/delete and read tools.