Exercise: Integrate Model Context Protocol with GitHub Copilot

Modular agent-based RAG chatbot using MCP to coordinate multi-format document QA with FAISS retrieval and Phi-2 LLM.

Spring-based AI chat demo for fridge inventory and memory-driven orders, with SSE and multi-app orchestration.

Databricks agent example for Genie enabling Genie space queries, Unity Catalog access, and LLM-powered data responses via a managed backend.

Spring Boot demo showcasing structured context exchange for healthcare AI workflows with client UI and backend orchestration for modular AI interactions.

Spring Boot app enabling AI tool integration for medical workflows with JPA-backed models and AI agent connectivity.

RAG-based QA server leveraging MCP for multi-format document understanding and agentic tooling.

Modular, agent-based QA over PDFs, Word, slides, CSV, and text with grounded, source-backed answers.

Agentic RAG chatbot delivering multi-format document Q&A with structured, cross-agent MCP communication for reliable results

Python-based MCP simulation with a two-agent pipeline using shared context for summarisation and visualization.

Artificial Intelligence, Large Language Model, and Model Context Protocol Research Repository

A modular, MCP-driven platform enabling contextual AI interviews with persistent focus, dynamic prompts, and cross-service orchestration.

Modular platform automating financial risk and regulatory compliance with autonomous agents, RAG retrieval, and regulation document indexing.

A MCP-powered assistant that searches arXiv, organizes results by topic, extracts metadata, and enables interactive Q&A for efficient literature review.

Modular AI agents enabling math, impact analysis, web crawling, and automated test case generation using Groq models.

Open protocol enabling LLMs to access data sources and tools through standardized connectors.

An agent-centered platform enabling iterative reasoning, tool use, and GUI actions to solve math problems with verifiable results.

AI-powered PR reviews leveraging MCP for secure GitHub data and configurable LLMs.

Memory-enabled AI support agent delivering context-aware, personalized responses by recalling past interactions and user history.

Structured prompt framework guiding LLMs with task, constraints, tools, and examples; showcases retrieval-based context and visualization for reliable results.

Cloudflare AI image generation with multi-model support, AI-crafted prompts, and parallel batch rendering.

AI-powered todo and calendar assistant with Google Calendar sync, multilingual support, secure tool approvals, and structured tool interactions.

Real-time Arbitrum analytics powered by Arbiscan API and Claude AI, delivering live block data, transaction analysis, address balances, and network statistics. It combines AI-driven interpretation with prompt-based queries to provide interactive, actionable insights tailored for developers, analysts, and researchers exploring Arbitrum on-chain activity.

Modular, graph-driven research assistant coordinating agents for topic breakdown, retrieval, and reproducible reporting.