mcp-server-kubernetes logo
mcp-server-kubernetes
★ 1.6k
vs
google_workspace_mcp logo
google_workspace_mcp
★ 3.4k

mcp-server-kubernetes vs google_workspace_mcp

mcp-server-kubernetes: MCP Server Kubernetes provides an interface for AI agents to manage Kubernetes clusters, supporting various operations like resource management, scaling, and Helm deployments. It integrates with popular AI clients such as Claude Code, Codex, and VS Code, enabling AI-driven cloud-native operations.; google_workspace_mcp: This production-ready MCP server enables full natural language control over Google Workspace services like Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat through MCP clients, AI assistants, and developer tools. It is the most feature-complete Google Workspace MCP server, now supporting Remote OAuth2.1 multi-user operation and one-click Claude installation.

01

TL;DR

mcp-server-kubernetes logo
mcp-server-kubernetesAPI Integration · ★ 1.6k

Enable AI assistants to directly interact with and manage Kubernetes clusters.

google_workspace_mcp logo
google_workspace_mcpAPI Integration · ★ 3.4k
When to choose:
  • You want one server for Gmail, Drive, Calendar, Docs, Sheets, Slides, Forms, Tasks and Chat instead of one per service.
  • Several people will use it: it supports multi-user OAuth 2.0 and 2.1 with bearer tokens.
  • You want to limit exposure with tool tiers such as `--tool-tier core`.
When to skip:
  • You only need Sheets: a focused server exposes fewer tools and less account access.
  • You cannot create your own Google Cloud OAuth credentials: setup requires them.
  • Giving an assistant access to Gmail and Drive is not acceptable in your organisation.
02

Side-by-Side Comparison

Field
mcp-server-kubernetes logomcp-server-kubernetes
google_workspace_mcp logogoogle_workspace_mcp
Category
API Integration
API Integration
Stars
★ 1.6k
★ 3.4k
License
MIT
MIT
Install Command
npx mcp-server-kubernetes
uvx workspace-mcp --tool-tier core
Updated
2d ago
1d ago
Open Source
Yes
Yes
Tags
Kubernetes Management, Model Context Protocol, AI Integration
Google Workspace, MCP, AI Integration
03

Features

mcp-server-kubernetes logomcp-server-kubernetes
01Unified kubectl API for comprehensive Kubernetes resource management (get, create, apply, delete, logs).
02Advanced operations like port forwarding, Helm chart management, pod cleanup, and node maintenance.
03Optional OpenTelemetry Observability for distributed tracing of all tool calls, supporting various OTLP backends.
04Non-destructive mode to disable all destructive operations, providing read-only or create/update-only access for enhanced security.
google_workspace_mcp logogoogle_workspace_mcp
01Complete management of core Google Workspace applications (Gmail, Calendar, Drive).
02In-depth control over Google Docs, Sheets, Slides, and Forms for creation and editing.
03Advanced multi-user authentication with OAuth 2.0 and OAuth 2.1 support.
04Full compatibility and support for all MCP transports and clients.
05Integrated Google Custom Search capabilities for web search within workflows.
04

Use Cases

mcp-server-kubernetes logomcp-server-kubernetes
↳Enable AI assistants to directly interact with and manage Kubernetes clusters.
↳Automate routine Kubernetes operations like deploying applications, scaling resources, and managing Helm charts through natural language commands.
↳Systematically diagnose and troubleshoot Kubernetes pod issues using an AI-guided prompt.
↳Provide observability into AI-driven Kubernetes operations through OpenTelemetry for auditing and performance monitoring.
google_workspace_mcp logogoogle_workspace_mcp
↳Enabling natural language control for Google Workspace services via AI assistants.
↳Serving as a powerful backend for custom applications requiring Google Workspace integration.
↳Automating Google Workspace tasks and workflows for individuals or teams using natural language commands.
05

Best For

mcp-server-kubernetes logomcp-server-kubernetes
EssentialTrending
google_workspace_mcp logogoogle_workspace_mcp
EssentialTrending
FAQ

FAQ

What is the difference between mcp-server-kubernetes and google_workspace_mcp?
Both mcp-server-kubernetes and google_workspace_mcp are in the API Integration category. mcp-server-kubernetes has 1.6k stars, while google_workspace_mcp has 3.4k stars.
Which is better, mcp-server-kubernetes or google_workspace_mcp?
The best choice depends on your use case. Choose mcp-server-kubernetes if Enable AI assistants to directly interact with and manage Kubernetes clusters., and google_workspace_mcp if Enabling natural language control for Google Workspace services via AI assistants..
Is mcp-server-kubernetes free or open source?
Yes, mcp-server-kubernetes is open source on GitHub (MIT).
Is google_workspace_mcp free or open source?
Yes, google_workspace_mcp is open source on GitHub (MIT).
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