kubernetes-mcp is a CLI tool that provides an MCP server for exposing Kubernetes cluster operations to AI assistants. It enables automation and management of Kubernetes environments through AI-driven workflows. Below are 39 api design, testing & docs apps with similar functionality to kubernetes-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
mcp-deploy-intel is an open-source CLI and MCP server that delivers AI-synthesized risk briefs and typed query tools for Kubernetes deployments. It helps SREs and DevOps teams assess and manage deployment risks efficiently. The tool integrates with Kubernetes clusters and provides actionable intelligence for safer operations.
mcp-kvm is an open-source MCP server that allows AI agents to control computers through KVM hardware, enabling automation of tasks at the BIOS, login, and system recovery levels. It is designed for AI researchers and sysadmins working on autonomous computer management.
k8s-lens-mcp is an open-source Model Context Protocol (MCP) server that enables natural language interaction with Kubernetes clusters. It allows DevOps engineers to manage and query Kubernetes resources using conversational commands, streamlining cluster operations.
openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. It tracks gateway status, resource usage, errors, and skill registry integrity, providing cross-platform support for infrastructure operators and developers managing production AI systems.
k8s-mcp-bilbilmyc is an open-source Kubernetes MCP server that enables LLM agents to perform CRUD operations, manage RBAC, access logs and events, and execute Prometheus queries. It supports bulk operations with HMAC-based confirmation, making it suitable for DevOps engineers automating Kubernetes workflows with AI agents.
MCP server for junos-ops: expose Juniper device operations to AI assistants
kloudhub-mcp is an open-source MCP server that enables engineers to control and automate cloud infrastructure using AI. It integrates with tools like Terraform and AWS, providing a programmable interface for infrastructure management.
eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.
mcp-defense is a CLI tool for AI infrastructure engineers and security teams, providing kernel-native runtime defense for AI agents. It enforces MCP tool-call policies and correlates kernel events to secure agentic workloads such as Claude Code, Codex, and Devin.
abrasio-mcp is an open-source MCP server that exposes the Abrasio agentic browser, allowing AI models to perform browser automation tasks. It is designed for developers and researchers building autonomous AI agents that require web interaction capabilities.
kira-mcp is an open-source local MCP server for AI agents, providing YOLO-based UI-element detection, OCR, and full keyboard, mouse, and clipboard automation. It is designed for developers building autonomous agents that interact with desktop environments.
plesk-mcp is an open-source MCP server that facilitates automation and orchestration of model context protocol workflows, particularly for hosting and AI infrastructure scenarios. It is designed for engineers integrating AI models into hosting platforms.
AI cross-context synchronization layer — shared knowledge base MCP server for Claude Code, Copilot, and Codex
Ansible Knowledge MCP Server — module and role discovery, documentation, and skill generation for AI agents
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
zabbix-mcp is an open-source MCP server for automating Zabbix management and monitoring tasks. It provides API and CLI interfaces for network administrators and DevOps engineers to streamline server and network operations.
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
malt-mcp is an open-source Python MCP server that enables freelance platforms to manage user profiles, stats, and missions through AI assistants. It supports the Model Context Protocol and integrates with Anthropic's AI models for automation.
cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.
mcp-coder is an open-source CLI toolkit that leverages AI (Claude Code) and MCP servers to automate code analysis, testing, and implementation workflows. It is designed for developers seeking to streamline and enhance their software development processes with intelligent automation.
maa-mcp is an open-source MCP server based on MaaFramework, enabling automation of Android and Windows desktop tasks for AI assistants. It supports integration with OCR and various automation workflows for developers building AI-powered automation solutions.
mcpbundles is an open-source command-line interface tool that enables developers to connect AI systems to various MCP (Model Context Protocol) tools. It streamlines integration and workflow automation for AI toolchains via the CLI.
keycloak-mcp is an open-source MCP server that enables automated management of KeyCloak Admin REST API operations using service accounts. It is designed for developers and administrators working with identity and access management systems, providing SSO and authentication automation.
mcp-base is an open-source CLI tool for setting up and managing Model Context Protocol (MCP) servers. It supports OIDC authentication with providers like Auth0, Dex, and Keycloak, and integrates with Kubernetes for scalable deployments.
django-mcp-inspector is an open-source Python package that provides an MCP server to expose Django runtime information to AI agents. It allows developers to integrate AI-driven automation or monitoring into their Django projects by making internal state and metrics accessible. Ideal for developers building intelligent or autonomous systems on Django.
jupyter-mcp-server is an open-source Python package that implements a Model Context Protocol (MCP) server for use within Jupyter environments. It allows developers to integrate MCP capabilities into their Jupyter workflows, supporting advanced model context management and interoperability. Designed for developers working with Jupyter notebooks and related tools.
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
msmcp-azure is an open-source server for Azure that implements the Model Context Protocol (MCP), enabling structured management and orchestration of AI model contexts. It is designed for AI infrastructure engineers deploying and managing models on Azure.
vectra-ai-mcp-server is an open-source MCP server that exposes security detection, investigation, and response tools to AI assistants. It enables integration with AI-driven workflows for security automation and is suitable for security engineers and AI developers.
aruba-central-mcp is an open-source MCP server that exposes Aruba Central AP, switch, and client status to AI assistants and automation tools. It enables integration and monitoring of network devices using the Model Context Protocol.
Turn any MCP server or OpenAPI spec into a CLI
pmcp is an open-source CLI tool implementing Progressive MCP, designed to minimize context bloat and enable on-demand tool discovery for AI agents. It is aimed at AI developers working with agent frameworks and MCP protocols.
air-blackbox-mcp is an open-source CLI tool and MCP server that scans AI agent code for compliance with the EU AI Act, GDPR, and bias detection. It helps developers and compliance teams analyze, remediate, and protect AI systems against regulatory risks.
Kubernetes production-readiness auditor, exposed as an MCP server and CLI.
Linter for MCP (Model Context Protocol) config files used by Claude Desktop, Cursor, Cline, Windsurf, and Zed. CLI + library API.
janus-mcp-server is an open-source command-line tool that implements a secure MCP server for Kubernetes, enabling redacted diagnostics and human-approved configuration changes. It is designed for DevOps teams seeking secure, auditable cluster management.
MCP server for Sentinel QA — manage test cases from any AI assistant
unraid-mcp is an open-source MCP server and CLI/API toolkit for interacting with Unraid servers through their GraphQL API. It supports automation, monitoring, and integration with homelab setups using the Model Context Protocol.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
