Google Cloud MCP Server
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Alternatives to Google Cloud MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseCqualityDmaintenanceEnables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.401Apache 2.0
- FlicenseBqualityCmaintenanceEnables managing Google Cloud Platform (GCP) resources through natural language commands, including compute instances, storage, databases, and monitoring.56-
- AlicenseBqualityCmaintenanceEnables interaction with Google Cloud Platform services through gcloud CLI, supporting operations like querying logs, checking Cloud Run status, managing secrets, executing Cloud SQL queries, and monitoring billing information.11101MIT
- AlicenseCqualityDmaintenanceEnables AI assistants to interact with Google Cloud Platform resources through natural language queries. Supports querying and managing GCP services like Compute Engine, Cloud Storage, BigQuery, and more across multiple projects and regions.94,957MIT
- FlicenseNot gradedqualityDmaintenanceEnables managing Google Cloud Platform infrastructure through natural language, including VM deployment, SSH key management, remote command execution, and Terraform infrastructure-as-code operations.2-
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.MIT
TDQS
Scored across 56 tools
Multiple tools appear to do the same thing: gcp-compute-get-instance-ip vs get-compute-vm-ip, gcp-logging-query-logs vs gcp-logging-search-comprehensive, deploy-static-html-site vs deploy-static-site-from-html, plus several natural-language query variants for Spanner, Monitoring, and Trace. Many tools have no descriptions at all, making boundaries impossible to distinguish reliably.
Most tools follow a readable gcp-service-verb-noun pattern, which helps navigation. However, the pattern is broken by unprefixed tools like deploy-static-html-site and get-compute-vm-ip, and by generate_gcp_mermaid_diagram using underscores. These are mixed conventions rather than complete chaos.
56 tools is well above the 25+ threshold for a coherent toolkit. The count feels bloated because several tools could be consolidated, such as IP retrieval, logging queries, static-site deployment, and cost analysis variants.
The server covers a broad read-only observability and billing surface, plus basic compute and static-site workflows, but major GCP services like BigQuery, Cloud Run, GKE, and full Cloud Storage are missing. Even within covered services there are notable gaps: no IAM policy updates, no Spanner writes/DDL, no compute update, and no object-level static-site deletion.