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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,744 servers. Last updated -

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Matching MCP servers:

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    Enables advanced management of Kubernetes clusters through natural language interactions. Supports querying, managing, and monitoring pods, deployments, nodes, and logs across multiple contexts and namespaces.
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    MIT License
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    A Model Context Protocol (MCP) server that provides safe, read-only access to Kubernetes resources for debugging and inspection. Built with security in mind, it offers comprehensive cluster visibility without modification capabilities.
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    MIT License
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    An MCP server that enables interaction with Kubernetes resources through natural language interfaces like Goose CLI, allowing users to get, read, and patch Kubernetes resources.
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    Apache 2.0
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    A read-only MCP server for Kubernetes that allows querying cluster information and diagnosing issues through natural language interfaces like Claude.
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    TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.
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    MIT License
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  • -
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    A powerful and flexible Kubernetes MCP server implementation with support for OpenShift.
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    Apache 2.0
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    Enables comprehensive Kubernetes cluster management through kubectl operations and Helm chart management. Supports resource operations, logging, scaling, rollouts, and diagnostics with multiple transport modes and security features.
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    A server that enables LLMs to manage Kubernetes clusters through natural language commands, wrapping kubectl operations to provide a simplified interface for common Kubernetes tasks.
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    A Model Control Protocol server that extends AI assistants with Kubernetes operations capabilities, allowing for managing deployments, pods, services and other K8s resources.
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    Enables managing Kubernetes clusters through natural language by providing tools to list resources, view logs, port-forward services, scale deployments, and execute kubectl operations via AI assistants.
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    Enables real-time Kubernetes cluster observability and debugging through standardized MCP interface. Provides access to pods, services, nodes, events, and includes built-in tools for cluster health analysis and issue identification.
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    Provides a set of read-only Kubernetes functions via an MCP server, enabling interaction with Kubernetes clusters through agents or coding assistants like GitHub Copilot.
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    An MCP server that enables interaction with multiple Kubernetes clusters simultaneously, providing comprehensive tools for cluster management, resource operations, and diagnostics across different environments.
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    Enables comprehensive benchmarking and performance monitoring of OpenShift clusters using OVN-Kubernetes networking through automated data collection, AI-powered analysis, and report generation. Provides intelligent insights into cluster performance, bottleneck detection, and optimization recommendations.
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    A MCP server that can run Kubernetes commands with a given kubeconfig path and provide interpretation of the commands.
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    A version-aware Kubernetes documentation assistant that connects LLMs to trusted, real-time Kubernetes docs to reduce hallucinations and ensure accurate, version-specific responses.
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    A lightweight, centralized control plane server that enables management of multiple Kubernetes clusters simultaneously, supporting context switching and CRUD operations on common Kubernetes resources.
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    A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.
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    This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.
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    346
    MIT License
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    A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.
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    721
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    A Kubernetes-deployed server for the Model Context Protocol that enables secure communication with configurable environment variables, health monitoring, and scalable deployment on Azure Kubernetes Service.
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    An MCP server that enables interaction with Kubernetes/Minikube clusters through natural language, allowing AI agents like Codename Goose to manage Kubernetes resources via the Model Context Protocol.
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    A gateway that enables Generative AI systems to interact with and manage multiple Kubernetes clusters through the Model Context Protocol, supporting operations on Kubernetes resources and providing cluster observability.
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    MCP server for management and troubleshooting of certificates and other resources managed by kubernetes cert-manager.
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    Query and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.
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    MIT License
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    A Kubernetes command processing service that converts natural language requests into valid kubectl commands, providing command validation and security checks.
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    An MCP server implementation that integrates with the Civo cloud platform API, providing capabilities to manage cloud instances, networks, and Kubernetes clusters.
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    An auto-generated MCP server that enables interaction with Google Kubernetes Engine Hub API for multi-cluster management through natural language commands.
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