Beste DevOps & Infrastructure MCP server für Gemini CLI
2.466 devops & infrastructure MCP server mit fertiger Gemini CLI Config. Öffne eine Zeile, um sie zu kopieren.
- 1
Enforces policy-as-code governance for AI agents through deterministic scheduling and verifiable audit receipts.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "bernstein": { "command": "uvx", "args": [ "bernstein" ] } } } - 2
Enforces policy as code to orchestrate, schedule, and audit AI agent workloads with deterministic execution and verifiable lineage.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "bernstein": { "command": "uvx", "args": [ "bernstein" ] } } } - 3
Enables AI assistants to interact with real-time infrastructure monitoring data, including metrics, logs, alerts, and anomaly detection.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp-server": { "httpUrl": "https://app.netdata.cloud/api/v1/mcp" } } } - 4
Connects AI clients to GitHub so they can read repositories, manage issues and pull requests, and inspect workflows.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "github-mcp-server": { "command": "docker", "args": [ "run", "-i", "--rm", "ghcr.io/github/github-mcp-server:2.1.0" ] } } } - 5
Lets an AI client build, test, and manage Xcode projects and iOS simulators from the command line or MCP tools.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "xcodebuildmcp": { "command": "npx", "args": [ "-y", "xcodebuildmcp" ] } } } - 6
Enables AI clients to manage Kubernetes and OpenShift resources through direct API interaction, including pod operations, Helm charts, and Tekton pipelines.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "kubernetes-mcp-server": { "command": "npx", "args": [ "-y", "kubernetes-mcp-server" ] } } } - 7
Integrates with Terraform Registry and HCP Terraform APIs to automate Infrastructure as Code workflows and workspace management.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "terraform-mcp-server": { "command": "docker", "args": [ "run", "-i", "--rm", "docker.io/hashicorp/terraform-mcp-server:1.4.1" ] } } } - 8
Lets an AI client query and control an Unraid server's array, VMs, Docker containers and notifications via its GraphQL API.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "unraid-mcp": { "command": "uvx", "args": [ "unraid-mcp" ] } } } - 9
Lets AI tools manage files, websites, and serverless workers on a self-hostable open-source cloud computer.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "puter": { "httpUrl": "https://mcp.puter.com/" } } } - 10
Allows an AI client to manage UniFi Network devices, clients, firewall rules, VLANs, and VPNs through 210 specialized tools.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "unifi-network-mcp": { "command": "uvx", "args": [ "unifi-network-mcp" ] } } } - 11
Start, prompt, and read AI coding agent sessions across Claude Code, Codex, Gemini CLI, and other CLIs from one dashboard.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "codeman": { "command": "npx", "args": [ "-y", "aicodeman" ] } } } - 12
Create, execute commands in, and manage isolated Firecracker microVM sandboxes from any MCP client.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp": { "command": "npx", "args": [ "-y", "@superserve/mcp" ] } } } - 13
Exposes all Dokploy API endpoints as tools to allow AI clients to manage projects, applications, databases, and Docker configurations.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp": { "command": "npx", "args": [ "-y", "@ahdev/dokploy-mcp" ] } } } - 14
Lets an AI client manage GitLab projects, merge requests, issues, pipelines, wikis and releases through the GitLab API.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "gitlab-mcp": { "command": "npx", "args": [ "-y", "@zereight/mcp-gitlab" ] } } } - 15
Operate Proxmox VE infrastructure including VMs, LXCs, snapshots, and backups through MCP clients and AI agents.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "proxmoxmcp-plus": { "command": "uvx", "args": [ "proxmox-mcp-plus" ] } } } - 16
Automatically generates API tests and data mocks by recording real user traffic, database queries, and streaming events.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "keploy": { "httpUrl": "https://api.keploy.io/client/v1/mcp" } } } - 17
Lets AI agents control iOS and Android apps on simulators, emulators, and real devices through taps, typing, and accessibility snapshots.
Config für Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mobile-mcp": { "command": "npx", "args": [ "-y", "@mobilenext/mobile-mcp" ] } } }
