Google Cloud MCP Server
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Alternatives to Google Cloud MCP Server
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Related Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP server that provides access to Google Cloud Monitoring API, enabling interaction with cloud resources monitoring data through natural language commands.-
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze monitoring metrics through natural language.78 npmMIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables interaction with Google Cloud Logging API, allowing users to write, read, and manage log entries and configurations through natural language.-
- AlicenseCqualityDmaintenanceA Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.4078 npm80Apache 2.0
- 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.-
TDQS
Scored across 17 tools
Most tools have distinct purposes targeting different Google Cloud services (Spanner, Cloud Trace, Cloud Monitoring, Cloud Logging), though some overlap exists between query tools like 'query-logs' and 'find-traces-from-logs' which might cause confusion. The natural language query tools for different services are clearly differentiated by their target domains.
The naming follows a mostly consistent verb-noun pattern with hyphens, but there are inconsistencies: 'get-project-id' and 'set-project-id' use a different structure than others, and some tools use compound nouns (e.g., 'natural-language-metrics-query') while others are simpler. The overall pattern is readable but mixed.
With 17 tools, the count is slightly high but reasonable for covering multiple Google Cloud services like Spanner, Trace, Logging, and Monitoring. It provides a comprehensive surface without being overwhelming, though it borders on the heavy side for a single server.
The tool set covers querying and listing operations for Spanner, Trace, Logging, and Monitoring, but lacks obvious CRUD operations (e.g., create/update/delete resources) and management functions. This creates gaps for full lifecycle management, though core query workflows are supported.