MCP Servers

Comprehensive developer tools for file editing, shell command execution, and screen capture capabilities

An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel for explaining problems to various AI "ducks" and getting different perspectives

A coding agent for Max (Max/MSP/Jitter), which is a visual programming language for music and multimedia.

Coding agent with basic list, read, replace_in_file, write, execute_command and web search tools. Supports multiple projects concurrently.

A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.

A fully-featured coding agent that relies on symbolic code operations by using language servers.

A single-binary MCP server that converts source code into AST, regardless of language.

A MCP Server that allows AI such as Claude to read from the directory structure in a VS Code workspace, see problems picked up by linter(s) and the language server, read code files, and make edits.

A high-performance Rust reimplementation of WCGW for code agents, providing shell execution and advanced file management capabilities for LLMs via MCP.

Coding agent with basic read, write and command line tools.

Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack.

A Javascript code execution sandbox that uses v8 to isolate code to run AI generated javascript locally without fear. Supports heap snapshotting for persistent sessions.

MCP Server for Kubernetes integrated with Open-WebUI, bridging the gap between DevOps and non-technical teams. Supports `kubectl` and `helm` operations through natural-language commands.

MCP Server for kubernetes management, and analyze your cluster, application health

Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Get up-to-date EC2 pricing information with one call. Fast. Powered by a pre-parsed AWS pricing catalogue.

Go-based MCP Server for interfacing with Nutanix Prism Central resources.

Kubernetes cluster operations through MCP

MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need to memorize complex commands - just describe your needs, and AI will accurately execute the corresponding cluster operations, greatly enhancing the usability of Kubernetes.