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.

Python-based implementation focusing on modular context management, lightweight orchestration, and extensible plugin support for diverse AI model integrations.

Lean Unity C# SMF motion data receiver for Mocopi UDP, avoiding binary SDKs with straightforward avatar driving workflow.

Python-based MCP scaffold with limited documentation, awaiting feature details and usage guidance for context management.

Open-source R toolkit generating MCP-Mod simulation outputs with reproducible plots and a Shiny app for interactive exploration.

Lightweight DLL-based module enabling dynamic, hot-reloadable context management with native C++ performance and cross-language integration.

Python-based MCP 2.0.5 core aiming for protocol conformance and extensibility, but documentation is currently unavailable.

Python-based modular MCP with version 3 API, plugin system, and context-aware routing for flexible 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.

Python-based implementation delivering dynamic context management, prompt routing, and modular tool integration for context-aware AI workflows.

A Python utility to locate, validate, and enumerate endpoints with metadata across networks.

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

Lightweight, extensible tool enabling real-time model-context exchange with plugin support, secure isolation, and developer-friendly tooling.

Lightweight, Java-based context-sharing framework enabling seamless inter-agent communication with pluggable adapters and minimal dependencies.

A lightweight Go MCP server enabling modular model coordination and context routing.

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.

Modular context orchestration with flexible tool integration and efficient prompt routing.

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.

Minimal Python-based MCP v1 scaffold for rapid experimentation and custom context integration.