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Enhances AI agent capabilities by integrating Amazon Q Business and Perplexity for efficient JIRA case management.
Connects AI agents to the Sokosumi platform, enabling natural language interaction for managing AI agents, creating jobs, and monitoring their execution.
Exposes GraphQL schema information for Raphtory graphs, enabling LLMs to understand graph structure.
Exposes Parquet data as a Model Context Protocol (MCP) server, enabling LLMs to query it using natural language.
Enables AI-powered database operations, file management, and web content scraping via natural language, featuring dynamic schema evolution, semantic search, and Retrieval Augmented Generation (RAG) capabilities with Ollama integration.
Integrates the National Weather Service API to provide real-time weather forecasts and alerts to AI clients.
Streamline AWS infrastructure management by interacting with cloud resources using natural language commands.
Empower qualitative researchers with AI-driven analysis tools and a community-contributed methodology library.
Facilitates the creation of Model Context Protocol (MCP) servers and clients using Python.
Demonstrates an end-to-end workflow for an LLM chat client to interact with a FastAPI server exposing database tools via Server-Sent Events.
Empowers AI assistants to control a browser and perform web automation tasks like navigation, typing, clicking, and taking screenshots.
Combines a Retrieval-Augmented Generation (RAG) system with the Model Context Protocol (MCP) to create a powerful, modular AI application.
Provides a FastMCP server to automate the collection and analysis of trending YouTube Shorts, enabling integration with AI platforms.
Translates text and GitHub issue comments between languages using OpenAI models, configurable for various language pairs.
Provides weather forecasts for US cities using the National Weather Service API.
Provides weather information via the National Weather Service (NWS) API using the Model Context Protocol.
Provides mocked weather forecasting tools for AI assistants and applications via a Model Context Protocol server built with .NET Aspire.
Provides real-time access to LangChain documentation, API references, and code examples through dual server modes.
Analyzes Digital Log Interchange Standard (DLIS) files to extract channel data and metadata for LLM applications.
Enables AI agents to issue and manage verifiable credentials within a Self-Sovereign Identity (SSI) ecosystem.
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