Standardizes discovery and safe access to external tools and data, enabling scalable, reusable integrations with clear governance.

Lightweight protocol engine enabling modular, versioned model contexts with routing and isolation.

Model Context Protocol

Model Context Protocol

Learning-focused MCP server demonstrating JSON-RPC over stdio, Zod-validated tools, and resource management with ready-made examples to experiment and extend.

Scalable, privacy-aware framework to capture, route, and synchronize model contexts across distributed agents with extensible adapters.

Lightweight Python implementation enabling dynamic context provisioning and modular memory backends with standard negotiation for AI agents.

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Feature-rich framework enabling seamless context exchange between models via semantic kernel integration and flexible client components.

Model_Context_Protocol

ModelContextProtocol Training

Lightweight, extensible protocol enabling standardized model context exchange and cross-component task coordination.

An interoperable framework enabling versioned, schema-backed context graphs across runtimes for reproducible experiments.

Modular context framework with multiple backends: Google ADK integration, FastAPI toolset, and PostgreSQL-backed variant for flexible, scalable AI reasoning contexts.

Cross-language microservice framework enabling AI-powered tooling with Python and C#, featuring robust integrations and developer-friendly tooling.

AI-powered storytelling with persistent narratives, tool-driven state management, and a CLI interface built on Bun and OpenAI.

Downloads YouTube audio, transcribes with faster-whisper, and summarizes using Groq llama3-70b-8192 for concise podcast digests.

A lightweight PoC leveraging autonomous AI agents to streamline loan underwriting through centralized orchestration and external tool integration.

Standalone, context-driven experience orchestrating Codenames gameplay with LLM sampling and human elicitation.

Python-based intelligent agent dynamically connects to multiple MCP endpoints, auto-binds tools, and orchestrates AI workflows using LangGraph and LangChain.

Advanced MCP server for intelligent context management with token-optimized storage, summaries, and gap detection to preserve conversation continuity.

Android-focused framework enabling AI agents to intelligently control and interact with devices using contextual awareness.

CLI chat with AI via Anthropic API featuring document retrieval, command prompts, and extensible MCP tool integrations for rapid customization.

Dynamic generation of tools from OpenAPI specs with smart defaults, SSL controls, detailed logs, and IDE-friendly HTTP exposure.