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Generates images from text prompts using the Replicate API and a Model Context Protocol server.
Enables language models to interact with Apache Kafka and its ecosystem.
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Enables AI agents to search Naver for blogs, news, shopping items, and other content via the Naver Search API.
Exposes Indian stock market data through a local Model Context Protocol (MCP) server.
Summarizes governance proposals from various DAO backends using AI to enhance voter clarity and engagement.
Manages calendar events with artificial intelligence capabilities.
Serves the Azure OpenAI gpt-image-1 model as a Model Context Protocol (MCP) server, empowering AI assistants with advanced image generation and editing capabilities.
Indexes and enables natural language querying of your Obsidian notes through a Retrieval-Augmented Generation (RAG) server.
Transforms state-of-the-art image generators into plug-and-play tools for any Model Context Protocol (MCP)-aware client.
Enhances Large Language Models with advanced memory management, leveraging a semantic memory system optimized for AI assistant scenarios and Model Context Protocol integration.
Screens Indian stocks using various technical analysis strategies to identify potential trading opportunities and provides market data via an MCP server.
Converts various document formats like PDF, DOCX, and PPTX into images (PNG, JPEG) and other document types.
Enhances LLM agent capabilities with semantic code search, structural code views, and an intelligent workspace TUI for efficient context management.
Provides comprehensive access to the Finnhub financial market data API for AI assistants.
Provides a universal camera interface and vision tools for AI assistants, enabling them to capture and process images.
Exposes Apache Lucene's full-text search capabilities through a conversational interface, enabling AI assistants to search, index, and manage document collections without technical expertise.
Captures and filters Windows debug output for AI applications via an MCP server.
Enables AI agents to access the Norwegian SSB API for statistical data.
Integrate any Arduino-compatible microcontroller into an AI agent's toolkit, enabling AI control over physical devices.
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