Lightweight Python MCP PoC enabling structured context exchange with simple UV tooling.

MCP examples

A minimal PoC server showcasing versioned model context payloads and pluggable adapters for IPC between AI components.

A collection of Model Context Protocol (MCP) server and client implementations including weather, Google Drive, and basic demo servers.

NestJS-based protocol integration that standardizes context sharing with LLMs using Model Context Protocol, featuring lightweight setup and TypeScript-first tooling.

Protocol-driven framework enabling seamless model-context integration, dynamic context shaping, cross-model coordination, and extensible plugin ecosystems.

In which you find practise of MCP (Model Context Protocol)

Describe what is MCP and examples of implementation

Dynamic, secure context sharing with real-time synchronization and multi-user collaboration across AI workflows.

Open protocol by Anthropic enabling LLM access to data sources, tools, and reusable prompts via Resources, Tools, Prompts primitives.

Lightweight Python MCP server enabling modular context handling for LLMs with flexible routing and pluggable sources.

Python-based MCP framework with modular domain demos and Streamlit visualization for standardized context handling across notes, Pokemon, Airbnb, and interactive prompts.

A protocol for standardized context sharing and negotiation across language model components.

Compact, extensible example persisting notes, exposing latest item, and summarizing content via prompts.

Distinct, modular server enabling deterministic, context-aware prompts and seamless tool integrations for scalable AI workflows.

Model Context Protocol

Model Context Protocol

A lightweight, protocol-agnostic framework enabling stable model-context interactions and modular prompt composition.

Resources to Understand MCPs and Interacts with MCP Server

Model_Context_Protocol

Model Context Protocol

Real-time stock quotes, profiles, and symbol search with Finnhub, enhanced by caching for efficient LLM access.

Standardized interface enabling AI to invoke external tools, manage context, and call developer-defined functions for richer, interactive tasks.

model context protocol