A multi-source integration demo showcasing quick access to code snippets, DB ops, design assets, and repo tasks via Cursor IDE.

Azure AI MCP (Model Context Protocol)

End-to-end deployment with AI Foundry integration and Azure APIM, featuring OpenAPI-driven endpoints, containerized orchestration, and comprehensive monitoring.

Production-ready ticketing powered by MCP, RAG search, and Semantic Kernel with Azure OpenAI.

Bulletproof RAG agent with Context7 MCP integration, precise grounding, and a polished terminal UI, built for scalable developer workflows and reliable documentation retrieval.

Genesys Cloud toolkit offering queue search, conversation insights, sentiment, topics, transcripts, and desktop extension support with NPX deployment.

Model Context Protocol server architecture using Amazon Bedrock AgentCore Gateway

Secure TimescaleDB Cloud access with SSL, encrypted credentials, and SQL query execution for seamless developer integration.

Open-source MCP gateway enabling scalable, pluggable routing of model context messages between clients and MCP servers.

Vercel-friendly harness enabling scalable context exchange and deployment optimization via TypeScript.

A demo project for MCP (Model Context Protocol)

model context protocol mcp with vercel functions

Redis-backed, Vercel-powered deployment template using Fluid Compute and TypeScript SDK for rapid prototyping.

Vercel-based MCP server template with Redis backing and Fluid Compute for scalable, serverless prompts.

Lightweight Python MCP server exposing /mcp on port 8000 via FastMCP for rapid model context handling.

Unified, modular context-sharing framework with ready endpoints, client-UI integration, and cloud-ready deployment for seamless model-assisted workflows.

Edge-deployed, read-only portfolio data interface with SSE streaming, Django REST integration, and Claude Desktop compatibility for fast, secure exploration.

OCI-based model-context provider enabling AI assistants to manage compute, networking, storage, and Kubernetes with multi-auth options and safety safeguards.

Audits AWS SCPs across organizations with listing, details, target checks, and diffs, optimized for cross-account governance and MCP client workflows.

Developed Model Context Protocol (MCP) server for seamless AI model integration and medical document processing

Unified CLI for deploying and managing Model Context Protocol workloads across Kubernetes and Docker with real-time health and endpoint discovery.

Hands-on MCP server template with humor-focused data sources, local and Azure deployment, and seamless Copilot Studio integration for secure, real-time LLM context.

Python-powered interface bridging AWS Bedrock with MCP, offering a web chat, multi-model access, and MCP-formatted responses for streamlined integration.

A tools for Model Context Protocol (MCP) in Azure