MCP Servers

Manage containers and compose stacks through natural language.

Integrates with DuckDuckGo to provide web search capabilities, content fetching, and parsing, with results formatted for large language model consumption.

Integrates with WeRead e-book platform to provide access to book content, user highlights, and annotations with efficient cache management for research and literature analysis workflows.

Integrates with the Graphlit platform to enable natural language processing tasks and data retrieval from the Graphlit ecosystem.

MCP server that seamlessly integrates Hugging Face Spaces with AI assistants, enabling easy access to diverse AI models and tools without manual configuration.

Guides developers through a structured, question-based approach to break down software goals into actionable implementation plans with detailed task lists, complexity scores, and code examples.

Interact with Microsoft Word.

VSCode tools and resources as a Model Context Protocol (MCP) server in a VSCode extension

Wraps the HuggingFace Open Deep Research project, built on their smolagents library, making the project available for use with MCP clients, such as AI assistants.

Submit recent chat history ('context') and a search term to retrieve a list of candidate results from GIPHY and load their image data.

Search the web using Bing services.

Provides a bridge between Kubernetes GitOps operations and Flux CD ecosystem, enabling debugging, resource management, and workflow troubleshooting through specialized tools for log retrieval, reconciliation, and cluster context switching.