A minimal LangChain MCP setup that links math and weather tools into a single adaptable agent with HTTP servers.

Model Context Protocol

Model Context Protocol

Streamlit-based MCP tool that crafts personalized learning paths by integrating YouTube, Drive, and Notion for cohesive, goal-driven study plans.

Standardized context exchange enabling cross-model collaboration, adaptive routing, and tool integration through pluggable adapters and policies.

CLI AI chat with document-aware prompts and extensible tool integrations, powered by an Anthropic API-backed workflow for knowledge-driven conversations.

Context-driven weather insights with adaptable data sources and auditable decision traces, enabling proactive alerts and cross-actor collaboration.

Model_context_protocol

TypeScript-based backend with real-time resume-driven interactions, multi-format resume support, and SMTP email alerts, designed for modular, extensible model-context tasks.

Async Python toolset for local file manipulation, command execution, and quick MCP experiments via a terminal client.

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

Lightweight PoC in C# enabling model context sharing, orchestration, and cross-component hydration with pluggable backends.

Protocol enabling hosted model context with capability negotiation, real-time tool provisioning, and multi-actor coordination for dynamic AI tooling.

ModelContextProtocol

Reactive StackOverflow search component within Model Context Protocol enabling fast, API-driven context retrieval with non-blocking WebFlux.

ModelContextProtocol

Beginner-friendly blueprint demonstrating end-to-end Model Context Protocol capabilities with stdio transport, tools, resources, prompts, and Claude integration.

TypeScript-based client template offering unified access to native file ops and MCP-backed tools with config-driven loading and easy server integration.

Express-based platform exposing resources, tools, and prompts with modular routing and plugin-friendly integration.

Lightweight, modular HTTP-based integration enabling efficient prompt context management with per-model isolation and easy LLM workflow integration

Python-based data explorer with multi-layer caching, rate-limited access, and 16 integrated tooling facets enabling AI-assisted access.

Feature-rich YouTube analytics backend offering transcripts, sentiment analysis, and cached exports with robust quota management—distinctive data collection and media handling.

MacOS-based screen capture with OCR, text search, and automation for UI tasks

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