Model Context Protocol

Universal plug‑and‑play conduit enabling secure AI data access via a centralized MCP server with standardized adapters and context negotiation.

An Azure OpenAI GPT-4o powered chatbot that fuses context from Outlook, local files, and Google Drive via a Model Context Protocol-inspired design.

Cross-platform command execution with automatic Windows/Unix normalization, live output streaming, and working-directory control, designed for seamless automation and integration.

Analyses a GitHub repository's code using a configurable LLM backend and provides queryable insights.

Lightweight component for tracking and contextualizing .NET build issues within CI/CD workflows.

Open protocol enabling LLMs to access diverse data sources, tools, and prompts across distributed components.

Model Context Protocol MCP

Structured, flexible context exposure for LLMs with resources, tools, prompts, and data sources, plus Claude Desktop integration and debugging tooling.

model context protocol intro

A secure, real-time, bidirectional interface that standardizes connectivity between AI systems and external tools, APIs, and data sources.

JavaScript-based client for exchanging structured model context data with backends, emphasizing lightweight updates and extensible schema.

Demo Bun-based MCP server showcasing time-aware, model-agnostic data linkage for dynamic, context-driven conversations.

TypeScript implementation offering PayPal payments, subscriptions, invoices, and user profiles with automatic token refresh and robust validation.

Lightweight Python-based framework for exchanging model-context data with pluggable handlers and extensible pipelines.

Python-first toolkit for presenting and demoing model context across AI workflows with cross-language samples and ready-to-run demonstrations.

Extensible, modular protocol suite that empowers AI assistants to access external data and orchestrate tasks with TypeScript and Node.js.

Open, secure two-way connections between data sources and AI tools with a Ruby-first integration and strong developer tooling.

model_context_protocol

Intelligent routing system that selects specialized AI models per query, boosting efficiency, cost-effectiveness, and accuracy through context-aware orchestration.

model context protocol

Unified collection of ready-to-run MCP components spanning task, search, data, and local storage with production-ready Dart and Python variants.

ModelContextProtocol

MCP Experimentation