GCP MCP
Related Servers
Alternatives to GCP MCP
No user-submitted related servers found.
Related Servers
- FlicenseBqualityCmaintenanceEnables managing Google Cloud Platform (GCP) resources through natural language commands, including compute instances, storage, databases, and monitoring.56-
- AlicenseBqualityDmaintenanceEnables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.16MIT
- AlicenseBqualityNot gradedmaintenanceEnables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.1MIT
- 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
- 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-
- FlicenseNot gradedqualityDmaintenanceProvides 30+ read-only tools for querying Google Cloud Platform infrastructure, designed for AI assistants and Terraform workflows.-
TDQS
Scored across 9 tools
Most tools have distinct purposes targeting specific GCP services or functions, but 'run-gcp-code' is ambiguous and could overlap with other operations, potentially causing confusion. The other tools are clearly scoped to billing, logging, resource listing, and project selection.
The naming is mixed with inconsistent patterns: some use verb_noun (e.g., 'list-projects', 'get-logs'), others use noun_verb (e.g., 'run-gcp-code'), and hyphenation varies. While readable, it lacks a uniform convention across all tools.
With 9 tools, the count is reasonable for a GCP server, covering key areas like billing, logging, and resource management. It's slightly lean but well-scoped, avoiding bloat while providing essential functionality.
The toolset covers listing and getting operations well but has notable gaps in CRUD coverage, such as missing create, update, or delete tools for resources like GKE clusters or SQL instances. This could limit agent workflows that require full lifecycle management.