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OpenCode plugin — convert MCP servers with slim:true into skills + native proxy tools with connection pooling

MCP server exposing Pear Protocol's read API to AI agents

Tech job market intelligence: jobs, companies, salaries, skill velocity, hiring trends.

Query, provision and operate Cloud and SaaS resources and APIs using an extensible SQL based framework

Multi-agent coordination for Claude Code — cubes, drones, and a shared activity log.

Payment layer for AI agents. One MCP, five protocols, thousands of paid APIs your agent can call.

A lightweight, standalone MCP (Model Context Protocol) server for the [Nx Plugin for AWS](https://github.com/awslabs/nx-plugin-for-aws).

🏎️ ☁️/🏠 - 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.

🏎️ ☁️/🏠 - 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.

🐍 ☁️/🏠 - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.

🏎️ ☁️/🏠 - A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities.

🏎️ ☁️ - OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs.

🏎️ ☁️/🏠 - A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.

🐍 - A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (`kubectl`, `helm`, `istioctl`, and `argocd`) using Unix pipes in a safe Docker environment with multi-architecture support.

🐍 🏠 - Compresses ~100K-token HTML into 2-5K-token structured maps while preserving every actionable element. AI agents can read and interact with any web page at 97% fewer tokens.

[glama](https://glama.ai/mcp/servers/@PrinceGabriel-lgtm/freshcontext-mcp) ☁️ 🏠 - Real-time web intelligence with freshness timestamps. GitHub, HN, Scholar, arXiv, YC, jobs, finance, package trends — every result stamped with how old it is.

📇 🏠 🍎 - An MCP Server Integration with Apple Shortcuts

[glama](https://glama.ai/mcp/servers/ofershap/real-browser-mcp) 📇 🏠 - MCP server + Chrome extension that gives AI agents control of the user's real browser with existing sessions, logins, and cookies. No headless browser, no re-authentication.

🏎️ 🏠 🐧 🍎 🪟 - 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.