Season 4 introduces modular context sharing with pluggable adapters for scalable, multi-agent workflows and rich plugin support.

Python-based context provisioning with pluggable providers and real-time updates for scalable workflows.

Lightweight Python MCP v2.5 server enabling modular context management and easy extension with plug-in tools.

Lightweight Python framework enabling context-aware prompts with modular plugins, sandboxed runtimes, and multi-tenant isolation for dynamic context provisioning.

Python-based MCP 2.5 server emphasizing modular context management and extensible pipelines for multi-model inference.

Java-based importer bridging GPT-driven conversations with a model-context workflow, enabling seamless cross-pipeline context imports.

Lightweight Python MCP server delivering flexible context management and extensible LLM integration.

Lightweight MSP 2.5-oriented framework with extensible context management and fast tool bindings for modular AI workflows.

Lightweight Python MCP 2.0 server enabling seamless context exchange with extensible adapters and schema-driven messaging.

Lightweight, node-based MCP server designed to deliver DC sitemap data with seamless Salesforce integration.

Minimal, modular MCP server designed for reliable, extensible context sharing between AI components.

Parameterization workflow for Pyruvate Kinase with multiple ligands and metals, highlighting automated multi-chain parameterization and metal-specific tuning.

Java-based, modular block creator offering deterministic generation and robust validation with plugin extensions and CLI/API access.

Python toolkit with simulators, adapters, and rapid iteration for Model Context Protocol endpoints.

Java-based framework delivering modular context handling, plugin extensibility, and scalable model coordination.

A lightweight Docker-based protocol endpoint simulator that enables rapid client development, isolated testing, and integration workflows in a local environment. It exposes essential interactions and customizable hooks while keeping a minimal footprint and straightforward setup.

Lightweight, modular back-end enabling flexible context sharing across components with minimal dependencies.

AI-powered optimization with adaptive enhancement, batch processing, and WebP-first output for high-performance visuals

Experimental solution to save and share Claude Desktop conversations with private/public chats and GitHub OAuth.

Python-based, Playwright-powered browser automation for LLMs with navigation, screenshots, form interactions, and JavaScript execution.

Cloud browser automation via Browserbase, Puppeteer, and Stagehand, enabling LLMs to browse pages, extract data, capture screenshots, and run JavaScript in the cloud.

A minimal example showcasing Connect API usage with Swagger-driven tool mapping and ChatLAS integration for dynamic tool calls.

Lightweight JavaScript toolkit enabling multi-node context synchronization with pluggable transports and event-driven MCP workflows.

Automates tweet scheduling by pulling content from Google Sheets, posting via Selenium, and updating statuses with standardized interfaces.