Winx Agent is a Rust implementation of WCGW, offering advanced shell execution and file management for large language model code agents. It delivers high-performance, multi-provider AI integration, including automatic fallbacks and code analysis capabilities. Designed for seamless integration with Claude and other LLMs, it leverages the Model Context Protocol (MCP) for standardized context handling. Multiple operational modes, advanced file operations, and interactive shell support make it suitable for robust AI-driven code workflows.

• ⭐ 21
• MCP
• gabrielmaialva33/winx-code-agent

codemcp integrates Claude with a user's local codebase, enabling the AI to directly implement features, fix bugs, refactor code, and run tests by making live edits to files. It emphasizes safety and auditability by forbidding unrestricted shell access and versioning all LLM-driven changes using Git. The tool is IDE agnostic and designed for use with Claude Pro, focusing on cost-efficient, high-autonomy agent workflows. Command usage is user-approved via configuration, enhancing security while allowing automated operations.

• ⭐ 1,572
• MCP
• ezyang/codemcp

MCP Server LeetCode provides a Model Context Protocol server interface to the LeetCode platform, allowing AI assistants to efficiently access LeetCode problems, user profiles, and contest information. The tool offers both a command-line interface and a programmable API for integration, supporting advanced queries and direct interaction with LeetCode resources. Comprehensive toolsets allow for searching problems, fetching daily challenges, and retrieving user and contest data. The server is designed for seamless integration with platforms such as Claude Desktop.

• ⭐ 33
• MCP
• doggybee/mcp-server-leetcode

container-use enables coding agents to operate in parallel, isolated container environments integrated with the Model Context Protocol (MCP). Agents work independently in designated git branches, ensuring safe experimentation and real-time monitoring. The tool supports direct terminal access, seamless workflow integration, and works with any MCP-compatible agent, including Claude Code and Cursor. Designed for flexibility and visibility, it is suitable for managing multiple coding agents concurrently.

• ⭐ 3,248
• MCP
• dagger/container-use

mcp-v8 is a Rust-based server that implements the Model Context Protocol, providing a secure and isolated V8 JavaScript runtime for AI agents like Claude and Cursor. It supports persistent heap snapshots using S3 or a local filesystem and offers both stateless and stateful execution modes. The server is easily configurable, supporting multiple transports such as stdio, HTTP, and Server-Sent Events for flexible integration. Designed for modern AI development environments, it enables seamless context handling and interoperability for agent tools.

• ⭐ 23
• MCP
• r33drichards/mcp-js

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

• ⭐ 26
• MCP
• gwbischof/outsource-mcp

OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

• ⭐ 150
• MCP
• ckanthony/openapi-mcp

Node.js Sandbox MCP Server provides an implementation of the Model Context Protocol (MCP) for safe and isolated JavaScript code execution in ephemeral Docker containers. It supports on-the-fly npm dependency installation, execution of shell commands, and the management of Node.js environments with resource limits. The server can be integrated with clients like Claude Desktop and is available as a Docker image or via NPX for rapid deployment.

• ⭐ 133
• MCP
• alfonsograziano/node-code-sandbox-mcp

mcp-k8s-eye enables users to manage and analyze Kubernetes clusters using standardized Model Context Protocol (MCP) interfaces. It offers comprehensive resource operations, diagnostics, and resource usage monitoring through both stdio and SSE transports. Supporting generic and custom resource management along with advanced diagnostic tooling, it is geared for integration with AI clients and other MCP consumers.

• ⭐ 26
• MCP
• wenhuwang/mcp-k8s-eye

K8M is an AI-enabled mini Kubernetes dashboard built with a focus on simplifying cluster management and enhancing user experience. Utilizing the Model Context Protocol (MCP), K8M offers visual management for MCP, allowing AI models to interact with Kubernetes resources and tools easily, supporting over 49 built-in MCP tools. It enables powerful multi-cluster management, integrates advanced AI capabilities such as chat-driven resource explanation and diagnostics, and supports custom large model integration including private deployments and models like Ollama.

• ⭐ 702
• MCP
• weibaohui/k8m

books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

• ⭐ 5
• MCP
• VmLia/books-mcp-server

AWS Pricing MCP is an MCP-compliant server that delivers up-to-date AWS EC2 instance pricing data through both traditional and serverless Lambda deployments. It offers advanced filtering, supports multiple AWS pricing models, and provides results via the JSON-RPC 2.0 protocol. The solution ensures always-current pricing information retrieved directly from S3 and is designed for seamless integration with systems requiring model context protocol support.

• ⭐ 16
• MCP
• trilogy-group/aws-pricing-mcp

MCP Nutanix is an experimental Model Context Protocol (MCP) server that allows large language models to interact with Nutanix Prism Central APIs. It facilitates listing and accessing resources such as VMs, clusters, and hosts via standardized MCP client-server integration, using the Prism Go Client for backend communication. The implementation supports both interactive and static credential methods, making it compatible with various MCP clients including Claude and Cursor.

• ⭐ 11
• MCP
• thunderboltsid/mcp-nutanix

MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

• ⭐ 356
• MCP
• strowk/mcp-k8s-go

Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

• ⭐ 81
• MCP
• portainer/portainer-mcp