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

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.

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

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

Bridge enabling AI assistants to access Onspring data via Model Context Protocol, supporting app discovery, records, queries, reports, and file retrieval.

Seamlessly combines Claude and ChatGPT for large-scale creative asset generation on macOS, featuring clipboard prompts, reliable pacing, and conversation management.

Claude Desktop integration accelerates environment orchestration, blueprints deployment, and AI benchmarking with robust input validation.

Model Context Protocol Servers written in different languages by me to use along with Claude, Cursor, and other apps

Unified browser automation tool enabling Claude and compatible assistants to control browsers, capture screenshots, interact with elements, fill forms, and extract data.

Simple project of how to setup an MCP (model context protocol) server.

Prototype detailing modular context handling and explanation flow for Python-based experiments.

CLI tool that auto-detects projects, generates tailored memory rules, and integrates Cursor IDE with a local memory file.

Showcases configurable MCP server samples and practical integration templates to empower Windsurf-powered AI assistants with cross-tool access.

A repository demonstrating Model Context Protocol (MCP) for GitHub interactions

An image-driven, lightweight container tool focused on quick Docker container creation and status checks with minimal setup.

A comprehensive setup enabling Claude Desktop to interact with diverse external services through standardized interfaces for memory, web search, file operations, database access, and tooling.

A focused sandbox showcasing Model Context Protocol-driven GitHub API operations for automated repo tasks, branches, PRs, and content workflows.

Real-time Windows control with zero-install on target devices, secure remote management, and seamless cross-client compatibility leveraging built-in features.

Building universal assistants: with LangGraph and Model Context Protocol (MCP)

Fixed dependency setup to resolve zod-to-json-schema ERR_MODULE_NOT_FOUND, enabling deterministic startup and reliable module resolution.

Automates persistent memory setup for Cursor IDE with project-specific rules, memory files, and enhanced AI-assisted coding.