Forked, lightweight shell interface enabling local prototyping, scriptable commands, and flexible context interactions for rapid workflow testing.

Advanced Quantum Pattern Processing Engine for Model Context Protocol

Weather data integration for Claude Desktop enabling real-time forecasts and context-rich weather insights.

Kotlin-based toolkit enabling client plus service roles with multi-transport support and resource-driven context sharing.

Notebook-first Python toolkit enabling rapid experimentation with interactive context exchanges and modular workflows for intelligent agents.

Modexl Context Protocol Server for FHIR API

Exposes local SQLite and LanceDB data for Chicago Public Schools, with queries for neighborhoods and school websites, enabling offline-ready data access.

Lightweight roulette feature with customizable options, blazing-fast responses, and smooth animations for context-driven tooling.

Windows-native Claude integration via MCP enabling local AI workflows with streamlined context handling and plug-and-play support.

ClaudeDevMCP

A Claude-based integration platform enabling dynamic context sharing, adaptable workflows, and extensible plugins across host applications.

MCP Server for Interacting with the Claude and the OS Hub API

Unified Node and Python package handling with whitelist security, VENV, and cross-platform initialization

Unified MCP server framework delivering scalable model context with pluggable backends, caching, and secure negotiation.

Experimental Python Skeleton for MCP

Lightweight, URI-driven notes demo with create and summarize tools showcasing modular protocol concepts.

Demonstrates client-server communication and dynamic tool execution with web fetch, system monitoring, and SSE using MCP protocol.

Stores notes via a note:// URI, offers summarize-notes prompts and an add-note tool for collaborative, testable workflows.

Rust-based, modular context management framework with pluggable extensions and high-concurrency networking.

Prototype implementing a compact, extensible context sharing protocol in Python for dynamic AI workflows.

Primitive MCP prototype ingesting user input via Claude Desktop to populate a markdown template and produce output.md.

A curated list of essential MCP servers that I created for personal use. Feel free to use them.

Lightweight browser-based explorer to navigate and inspect model contexts with emphasis on visualization and extensibility.

Haskell-first SDK delivering a type-safe MCP server foundation with plugin extensibility and modular context management for flexible integrations.