Los mejores MCP servers de DevOps & Infrastructure para Continue
2452 MCP servers de devops & infrastructure con configuración lista para Continue. Abre una fila para copiarla.
- 1
Enforces policy as code to orchestrate, schedule, and audit AI agent workloads with deterministic execution and verifiable lineage.
Configuración para Continue
.continue/mcpServers/bernstein.yamlname: "bernstein" version: 0.0.1 schema: v1 mcpServers: - name: "bernstein" type: stdio command: "uvx" args: - "bernstein" - 2
Enforces policy-as-code governance for AI agents through deterministic scheduling and verifiable audit receipts.
Configuración para Continue
.continue/mcpServers/bernstein.yamlname: "bernstein" version: 0.0.1 schema: v1 mcpServers: - name: "bernstein" type: stdio command: "uvx" args: - "bernstein" - 3
Enables AI assistants to interact with real-time infrastructure monitoring data, including metrics, logs, alerts, and anomaly detection.
Configuración para Continue
.continue/mcpServers/mcp-server.yamlname: "mcp-server" version: 0.0.1 schema: v1 mcpServers: - name: "mcp-server" type: streamable-http url: "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.
Configuración para Continue
.continue/mcpServers/github-mcp-server.yamlname: "github-mcp-server" version: 0.0.1 schema: v1 mcpServers: - name: "github-mcp-server" type: stdio 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.
Configuración para Continue
.continue/mcpServers/xcodebuildmcp.yamlname: "xcodebuildmcp" version: 0.0.1 schema: v1 mcpServers: - name: "xcodebuildmcp" type: stdio 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.
Configuración para Continue
.continue/mcpServers/kubernetes-mcp-server.yamlname: "kubernetes-mcp-server" version: 0.0.1 schema: v1 mcpServers: - name: "kubernetes-mcp-server" type: stdio 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.
Configuración para Continue
.continue/mcpServers/terraform-mcp-server.yamlname: "terraform-mcp-server" version: 0.0.1 schema: v1 mcpServers: - name: "terraform-mcp-server" type: stdio 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.
Configuración para Continue
.continue/mcpServers/unraid-mcp.yamlname: "unraid-mcp" version: 0.0.1 schema: v1 mcpServers: - name: "unraid-mcp" type: stdio command: "uvx" args: - "unraid-mcp" - 9
Lets AI tools manage files, websites, and serverless workers on a self-hostable open-source cloud computer.
Configuración para Continue
.continue/mcpServers/puter.yamlname: "puter" version: 0.0.1 schema: v1 mcpServers: - name: "puter" type: streamable-http url: "https://mcp.puter.com/" - 10
Allows an AI client to manage UniFi Network devices, clients, firewall rules, VLANs, and VPNs through 210 specialized tools.
Configuración para Continue
.continue/mcpServers/unifi-network-mcp.yamlname: "unifi-network-mcp" version: 0.0.1 schema: v1 mcpServers: - name: "unifi-network-mcp" type: stdio 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.
Configuración para Continue
.continue/mcpServers/codeman.yamlname: "codeman" version: 0.0.1 schema: v1 mcpServers: - name: "codeman" type: stdio command: "npx" args: - "-y" - "aicodeman" - 12
Create, execute commands in, and manage isolated Firecracker microVM sandboxes from any MCP client.
Configuración para Continue
.continue/mcpServers/mcp.yamlname: "mcp" version: 0.0.1 schema: v1 mcpServers: - name: "mcp" type: stdio 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.
Configuración para Continue
.continue/mcpServers/mcp.yamlname: "mcp" version: 0.0.1 schema: v1 mcpServers: - name: "mcp" type: stdio 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.
Configuración para Continue
.continue/mcpServers/gitlab-mcp.yamlname: "gitlab-mcp" version: 0.0.1 schema: v1 mcpServers: - name: "gitlab-mcp" type: stdio command: "npx" args: - "-y" - "@zereight/mcp-gitlab" - 15
Operate Proxmox VE infrastructure including VMs, LXCs, snapshots, and backups through MCP clients and AI agents.
Configuración para Continue
.continue/mcpServers/proxmoxmcp-plus.yamlname: "proxmoxmcp-plus" version: 0.0.1 schema: v1 mcpServers: - name: "proxmoxmcp-plus" type: stdio command: "uvx" args: - "proxmox-mcp-plus" - 16
Automatically generates API tests and data mocks by recording real user traffic, database queries, and streaming events.
Configuración para Continue
.continue/mcpServers/keploy.yamlname: "keploy" version: 0.0.1 schema: v1 mcpServers: - name: "keploy" type: streamable-http url: "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.
Configuración para Continue
.continue/mcpServers/mobile-mcp.yamlname: "mobile-mcp" version: 0.0.1 schema: v1 mcpServers: - name: "mobile-mcp" type: stdio command: "npx" args: - "-y" - "@mobilenext/mobile-mcp"
