"Linux Foundation" matching MCP servers:

A foundation for building interactive applications using the Model Context Protocol that integrates AI capabilities with Magic UI components.

A Model Context Protocol (MCP) server template built with mcp-framework, providing a foundation for creating custom tools and publishing npm packages.

Provides a reusable MCP server foundation with explicit tool registration, operation-mode separation, scope-based permissions, structured results, and built-in health/status tools.

A boilerplate for building and deploying remote MCP servers on Google Cloud with authentication, providing a foundation to experiment with MCP tools and capabilities.

MCP server for Apple container to manage, build, inspect, and diagnose Linux containers on macOS directly from AI agents.

Enables AI assistants to interact with native Linux desktop applications through AT-SPI2 accessibility interfaces. Provides semantic element targeting, natural language search, and automation capabilities (clicking, typing, keyboard shortcuts) across GTK, Qt, and Electron applications.

A production-grade MCP starter server in TypeScript with example tools, resources, and integration tests. It provides a clean, extensible foundation for building custom MCP servers.

A production-ready, transport-independent foundation for building enterprise MCP servers in Python. Provides infrastructure, configuration, DI, logging, and tooling so downstream projects can focus on domain capabilities.

This MCP server provides read-only Linux system diagnostics tools for inspecting system information, processes, and log snapshots. It enables AI models to analyze Linux system health, troubleshoot issues, and review security through workflow prompts and HTTP transport with API key authentication.

Provides a foundation for building MCP servers that expose UI component registries to AI assistants, enabling component discovery and retrieval.

A TypeScript template for building Model Context Protocol servers that provides a structured foundation with automated tools, testing, and synchronization capabilities.

Read-only MCP foundation server for NewCrm CRM, exposing a single /mcp endpoint and currently supporting GET /api/leads via the existing backend API without direct MongoDB access.

Governed development control plane for VedaOps projects, letting authorized agents inspect, search, patch, test, lint, and coordinate registered software without exposing a general shell.

This enterprise MCP server template provides a production-ready, architecture-first foundation for building MCP servers in Python, with capability registry, dependency injection, and Docker support.

Enables management of Windows servers from Linux through an MCP server with per-user installation. Provides tools to control Windows systems via API with secure credential management.

A basic MCP server example that provides simple arithmetic tools (addition and subtraction) and personalized greeting resources. Serves as a foundation for learning MCP server implementation and development.

A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.

A starter template for building single-client MCP servers that expose existing REST APIs, deployable via stdio in customer-controlled environments. It provides a structured foundation with validated config, error handling, write authorization, and a mock upstream for local development.

Read-only AMD GPU monitoring for Claude on Linux — VRAM, temperature, clocks, power, and running ML processes via rocm-smi.

Provides tools for reading and writing system clipboard data across Linux, macOS, Windows, and WSL platforms.