Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

cd14712 model context protocol

Semantic search, knowledge graphs, and scalable document processing for Zotero libraries.

AI-guided design, refinement, and execution of bioinformatics workflows via MCP for scalable, FAIR-compliant data analysis.

Multi-model Stable Diffusion gateway enabling text-to-image and image-to-image with dynamic model switching, fast startup, and LLM integration.

Unified AI desktop workspace blending cloud and local models with visual MCP management and RAG.

RAG-powered assistant ingests multi-format documents and answers with source context via modular agent communication.

A personalized learning path generator using MCP to tailor plan steps from YouTube, Drive, and Notion resources.

A flexible, modular server enabling context-aware reasoning through standardized model-context exchange and plug-and-play adapters.

An MCP experiment enabling LLMs to agentically use local tools to create and manage data structures.

Modular autonomous agents for inventory, pricing, marketing, and customer support, coordinated through a unified dashboard with rich marketplace integrations and cross-store automation.

GNN-driven PC-SAFT parameter estimation with graph networks and FeOs, enabling scalable density and vapor-pressure predictions.

Extensible context-sharing platform enabling typed payloads, versioning, and multi-agent collaboration across AI runtimes.

Ollama-based, MCP-compatible bridge enabling local chat, context-aware conversations, model management, and optional cloud routing for broader capabilities.

AI-powered asset discovery with natural-language search, semantic visuals, notes memory, and multi-tool workflows across US and EU data centers.

Sentiment-focused modular tool with an accessible UI and easy integration into AI workflows for rapid experimentation.

Lightweight tool registry and launcher configured via mcp.json for seamless, uniform binary integration.

This is MCP server code for cross-platform application prediction

AI-powered calculator agent connecting Llama 3.3 70B to a local tool backend via MCP, enabling basic arithmetic operations through a Python/Together AI stack.

Composable, dynamic retrieval-augmented backend enabling LangGraph-driven orchestration and persistent context with modular MCP wrappers.

AI-driven inventory management with natural language control, tool exposure for agents, and on-device reasoning.

A FastMCP-powered server that ingests PDFs, builds a Chroma vector store with sentence-transformers, and answers queries over documents.

Spring-based integration layer enabling Model Context Protocol interactions with AI agents, featuring modular adapters and scalable configuration for dynamic workflows.