A FastMCP-based NLP server offering modular text distance analytics with simple deployment and optional API-key security.

Integrates large language models with quantum platforms to enable context-aware quantum task execution and reasoning.

Local on-device vector search for PDFs and text with privacy-focused, directory-restricted indexing.

Blueprint for AI-integrated JHipster applications enabling automatic context generation, intelligent prompts, and customizable workflows with pluggable AI backends.

Model Context Protocol (MCP) サーバーとローカル LLM を連携させるデモ

MCP-driven astronomy assistant integrating NASA data, SIMBAD, exoplanet catalogs, and real-time space data with multi-LLM support.

Lightweight agent framework seamlessly accessing diverse tools via MCP servers for real-time data and domain-specific processing.

Elixir-based CLI chat client with multiple LLM backends, real-time progress, GPU acceleration, and robust history management for smooth conversations.

Scalable OpenAPI endpoint discovery using in-memory semantic search and instant endpoint docs for Claude integration.

A modular, context-aware chatbot leveraging retrieval-augmented generation for flexible, plug-and-play AI interactions.

Unified hub for MCP-based agents with modular frameworks, context tooling, and docs enabling interoperable AI agents.

Prototype enabling context vector extraction, dynamic AI orchestration via OpenAI API, provenance routing, and an EDS simulation within a FastAPI service.

Real-time Jupyter integration enabling live code execution, image extraction, and notebook management with strong security and robust error handling.

Centralized catalog of image quality metrics featuring FR, NR, and task-focused options with discovery, details, and usage samples.

Lightweight local protocol for efficient context management using llama-cpp-python with offline, on-device AI capabilities.

AI-powered podcast analysis tool that downloads YouTube audio, transcribes with Whisper, and offers a secure interface for LLM-driven transcripts and summaries.

POC of Semantic Kernel Agents using MCP (Model Context Protocol)

Bridge between OpenAI models and Neuralink-like interfaces via MCP, enabling real-time brain-AI interactions with secure, extensible LLM workflows.

A hands-on demonstration of structured tool, resource, and prompt orchestration for an educational AI tutor.

Unified multi-provider model hub with pluggable tools, external-data access, and SDK-driven integration enables flexible, extensible workflows.

Real-time vector search with multilingual embeddings and live folder monitoring for diverse documents.

A guide to integrating Model Context Protocol with GitHub Copilot for seamless context-aware code generation and enhanced developer workflows.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Unified Hopsworks integration enabling LLMs to access feature stores, datasets, model lifecycle, and data operations with secure authentication.