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Integrates AI assistants with the xtquant quantitative trading platform via the Model Context Protocol (MCP), providing AI access to trading data and functionalities.
Provides access to prediction market data through the PolyMarket API.
Generates 2D and 3D game assets from text prompts using Hugging Face AI models.
Implements a local, API-free web search for retrieval-augmented generation (RAG) using the Model Context Protocol (MCP).
Provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine.
Leverage large language models to enhance regression analysis with Stata.
Enables AI assistants to interact with HubSpot CRM data, leveraging vector storage and caching for improved performance.
Connects Large Language Models to GIS operations, enabling AI assistants to perform geospatial tasks.
Improves AI coding by providing better context.
Automates the generation of OpenAI plugins by defining API specifications in markdown.
Empowers large language models with real-world visual perception through image object detection, localization, and captioning APIs.
Provides a collection of open-source Model Context Protocol (MCP) servers for integrating AI models with scientific data, tools, and resources.
Connects AI agents with the CrowdStrike Falcon platform, powering intelligent security analysis in agentic workflows.
Enables AI agents to store, retrieve, and semantically search through memories using vector embeddings.
Enables hybrid search and AI-powered Q&A by building knowledge graphs from diverse content sources using a configurable architecture.
Discovers and evaluates candidate image-based biomarkers from gigapixel histopathology slides using an end-to-end, weakly-supervised deep-learning pipeline.
Enables Large Language Models to interact with Model Context Protocol (MCP) servers by writing and executing TypeScript/JavaScript code through a local HTTP proxy.
Centralizes and manages AI interactions, conversations, and insights using a local-first, graph-augmented approach for personal context.
Provides real-time framework documentation access for Claude Code with intelligent caching, multi-source integration, and context-aware assistance.
Orchestrates a comprehensive AI-powered pipeline from trending topic discovery and deep research using NotebookLM to content generation by Claude and multi-platform publishing.
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