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Extracts and transforms webpage content into clean, LLM-optimized Markdown using the Model Context Protocol.
Provides real-time weather data from KNMI (Royal Netherlands Meteorological Institute) weather stations for any location in the Netherlands.
Enables web searches using DuckDuckGo and fetches/summarizes content from the results using the Jina API.
Connects to Typesense collections and retrieves data using an MCP client.
Integrates Google's Gemini AI with MCP agents to enable codebase analysis, live search, and multi-file processing.
Enables AI assistants to efficiently retrieve GitHub data through GraphQL queries.
Integrates Shaka Packager with Claude AI applications, enabling video transcoding, packaging, and analysis.
Facilitates personalized video content selection for AI by providing access to Bilibili user data and search functionalities.
Enables querying of live Microsoft Teams data from Large Language Models like Claude Desktop using natural language.
Leverages AI to enhance security operations, particularly in Red Team and Pentesting workflows.
Integrates Claude with Obsidian notes for semantic and full-text search capabilities.
Provides a modular Python toolkit for creating Model Context Protocol (MCP) modules specifically designed for chemical engineering and chemistry workflows.
Connects Autodesk Fusion 360 with multiple AI backends to enable AI-powered parametric CAD design via natural language.
Empowers AI agents with advanced image analysis capabilities using OpenRouter's vision models to interpret visual content from screenshots, UI designs, and documents.
Provides AI assistants with a temporal memory system featuring human-like forgetting curves and local, human-readable data storage.
Indexes Git repositories and provides intelligent hybrid semantic code search for AI agents via a self-hosted Model Context Protocol server.
Deploys a production-ready template for specialized medical agents as discoverable MCP tools via the Agent Orchestration Protocol.
Enables web search, content extraction, and PDF parsing to provide real-time and context-aware information for Large Language Models.
Provides comprehensive system information and management capabilities for Linux servers through MCP and HTTP REST APIs, enabling AI agents to monitor and interact with server resources.
Empowers AI agents to interact with local code and data through an optimized Python-based Model Context Protocol server.
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