Deployment & DevOps MCP Servers

AI Federation Network

47

Enables federated connections between AI systems and various data sources through a standardized architecture.

System Monitor

46

Exposes system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information.

Claude MCP Setup

45

Simplifies the setup of Anthropic Claude Model Context Protocol (MCP) servers on Windows.

NetBox

44

Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).

Railway

43

Enables management of Railway.app infrastructure, including deployments, variables, and services, through natural language using Model Context Protocol.

Metoro

42

Enables interaction with Kubernetes clusters via the Claude Desktop App by exposing Metoro APIs to LLMs.

Portainer

42

Exposes Portainer environment data through the Model Context Protocol (MCP), enabling AI assistants to interact with containerized infrastructure.

Yamcp

41

Organizes MCP servers in local workspaces and shares them through a single command.

Azure DevOps

41

Integrates Azure DevOps with the Model Context Protocol (MCP) server, providing access to work items, repositories, projects, boards, and sprints.

Heroku Platform

41

Enables large language models to interact with and manage Heroku Platform resources.

DataHub

40

Provides a Metadata Change Proposal (MCP) server implementation for data governance.

Otelcol

40

Configures OpenTelemetry Collectors dynamically through MCP tools.

Google Cloud

40

Connects to Google Cloud services to provide context and tools for interacting with resources.

Terminal

40

Enables AI models to execute terminal commands on a host machine and retrieve the output.

Containerd Manager

39

Manages containerd CRI interfaces using the Rust Model Context Protocol (RMCP) library.

Databricks

39

Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.

Create-MCP

39

Quickly set up and deploy Model Control Protocol (MCP) servers to Cloudflare Workers.

CrewAI Enterprise

38

Deploys and monitors the status of CrewAI workflows.

Github Actions

37

Enables AI assistants to manage and operate GitHub Actions workflows.

K8s

36

Provides a standardized interface to interact with and manage Kubernetes clusters.