Lightweight, pluggable context-sharing framework enabling seamless tool integration and memory management for LLM workflows.

AI-powered fortune-telling with detailed interpretations and name-based insights via a Model Context Protocol integration.

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

Note-centric storage with a custom note:// scheme, summarization prompts, and add-note tool for collaborative workflows.

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

Time zone aware context provider with dynamic offset handling, locale-sensitive formatting, and lightweight timezone data integration for consistent cross-system timestamps.

Windows-native Claude MCP server with basic Windows integration and local context support.

Lightweight modular platform enabling seamless model-context integration with extensible plugins and security-focused workflows.

Experimental Python skeleton enabling rapid context modeling integration with modular, easy-to-extend components.

Minimal, dependency-light Node.js tool to quickly test MCP endpoint health and latency.

Secure command execution with whitelist filters, isolation, and timeouts for AI-assisted workflows.

TypeScript-based, lightweight note management with creation and summarization prompts for quick model context protocol prototyping.

Demonstrates end-to-end protocol-based interactions with SSE-streaming, web content fetch, and real-time system monitoring in Python.

Notes storage with a custom note:// URI, a summarize-notes prompt, and an add-note tool that enables storing and summarizing content with real-time client updates.

Secure local file access with configurable permissions exposed to Claude Desktop via stdio, focusing on safe path boundaries and desktop integration.

Rust-based protocol implementation with modular context modeling and a plugin-friendly, high-performance runtime.

Python-based prototype enabling efficient model-context exchange with async messaging and pluggable backends.

A primitive, template-driven markdown creator using Claude Desktop, designed for modular, multi-server workflows with developer-focused logging and inspector support.

Extends the context protocol with autonomous decision-making, stateful workflows, and dynamic tool interactions for complex automation.

Desktop client for Model Context Protocol focusing on on-device context management and future extensibility.

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

Type-safe Haskell SDK enabling modular model-context integration with adapters, plugins, and runtime orchestration for dynamic AI workflows.

An MCP-based advanced notes server with rich manage/search, tags, folders, and SQLite persistence for organized knowledge.

Secure, blacklist-protected shell command execution with validation and Claude Desktop integration for safe AI-driven tooling.