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Fetches and reads articles from a specified Substack publication, formatting the content for use with AI assistants.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Recommends similar clothing items based on uploaded images using CLIP encoding and YOLO object detection.
Enables AI models to access and interact with real-time IoT data from the Acceleronix platform, enhancing AI applications with contextual device information.
Integrates with arXiv to search academic papers, extract detailed information, organize resources by topic, and generate AI-ready research prompts.
Enables AST-powered semantic code editing for language models by weaving code transformations at precise syntactic splice points, featuring automatic binary bundling of ast-grep.
Provides global weather information through natural language interaction by integrating the OpenWeather API and large language models.
Provides web search and intelligent research capabilities through Claude CLI integration for MCP clients.
Provides a full-stack template for building AI agents using LangGraph.js on the frontend and Model Context Protocol on the backend.
Provides persistent memory, fast search, and intelligent file editing capabilities for Claude Code.
Connects AI services to the OpenSentry Command Center, providing access to camera status, detection alerts, recordings, and system health data through a standardized interface.
Integrates real-time oil, gas, and commodity prices directly into AI models for enhanced context and decision-making.
Provides a lightweight remote server for Firm workspaces, enabling AI agents to interact with Git-backed data.
Enables AI assistants to semantically search for quotes, verify attributions, and provide transparent source citations.
Enables AI agents to access various AI models and pay per request using Lightning Network micropayments without requiring accounts or API keys.
Establishes a structured, multi-layered memory architecture for AI agents to achieve persistent, cognitive history beyond traditional flat vector storage.
Builds a self-improving knowledge graph that enhances AI agent memory and learning capabilities.
Empowers AI agents and developers with a decentralized payment framework for sending, receiving, swapping, and querying balances across multiple blockchain networks.
Provides real-time pricing and performance data for large language models, allowing users to accurately estimate costs.
Automates scientific research by enabling AI clients to search ArXiv, ingest papers via IBM DocLing, and provide RAG-powered Q&A over a personal library of academic documents.
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