A lightweight, interoperable standard to manage and share model context across prompts and sessions with pluggable backends.

Model Context Protocol

Model Context Protocol

Lightweight, modular context management and tool integration for AI workflows.

Three-component framework enabling natural-language math with LLM-driven interpretation and modular tool orchestration.

Lightweight, TypeScript-based MCP server designed to simplify custom model-context integrations. It ships with an integrated inspector to observe payloads, validate schemas, and iterate rapidly. Its bootstrap is streamlined, and the focused feature set differentiates it from generic MCPs by prioritizing developer velocity and observable workflows.

Demonstrates fluid context sharing across models with client-integrated Gemini API, real-time routing, and modular tooling for seamless multi-part workflows.

MCP_Model_Context_Protocol_Course

Hands-on experiments exploring context-rich AI workflows with Gemini integration, inspector tooling, and practical notebooks.

intro into model context protocol

Lightweight framework standardizing storage and communication of training config, data lineage, hyperparameters, environment, and deployment metadata in a single archive.

model context protocol demo

A full-stack demo showcasing a model-context workflow with SSE transport, Claude integration, and tool calls for guitar recommendations.

A scalable framework for dynamic model context management with pluggable backends and LangGraph integration.

Lightweight inspector toolkit enabling quick initialization, port management, and debugging for model-context workflows.

Extends Umbraco with MCP server capabilities to chat with the CMS, manage content, and automate publishing using LLM-driven workflows.

A standardized, extensible framework enabling context sharing and modular, interoperable interactions between AI models and tools.

Model Context Protocol

Solana wallet and token balance actions exposed to Claude Desktop via a plugin-enabled agent, with environment-driven config.

Python-centric guide highlighting prompts, resources, and tooling for dynamic external data access.

Python-based calculator with 20+ math functions, ASCII processing, and Paint-based visualization, enabling secure external tool access and iterative reasoning.

A lightweight, modular MCP server enabling cross-model context management and prompt sharing for scalable AI orchestration.

ModelContextProtocol_Sample

Modular LLM-driven SQL generation and data retrieval with context-aware orchestration, multi-database support, and real-time result formatting.