MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
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A powerful MCP (Model Context Protocol) server for intelligent Java source code reading. Supports extracting source code from Maven dependencies and local projects, equipped with dual decompiler (CFR/Fernflower) auto-selection mechanism, intelligently handles SNAPSHOT versions, perfectly supports multi-module projects, enabling AI assistants to deeply understand your Java codebase.
kom is a tool for Kubernetes operations with SDK-level kubectl and client-go usage wrapping. It also supports serving as an MCP server for managing Kubernetes. It provides a series of capabilities to manage Kubernetes resources, including create, update, delete, and get operations, and even query Kubernetes resources using SQL. This project supports operations on various Kubernetes resource types and can handle Custom Resource Definitions (CRD). With kom, you can easily perform CRUD operations on resources, retrieve logs, and manipulate files within PODs
MCP server that enables AI agents to control CesiumJS 3D globe with natural language. Supports camera flight, entity management, imagery layers, terrain, GeoJSON, trajectory playback, and interactive picking. Works with Claude Desktop, VS Code Copilot, Cursor and any MCP-compatib
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
