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.

Python-based, ngrok tunneling, Dropbox backups, 16GB RAM cap, lightweight, cloud-enabled self-hosting for rapid prototyping.

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.

Lightweight Python ML predictor with PyTorch backend and configurable dataset for rapid, local predictions.

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.

WebSocket-based data stream for iKnowMed ePRO MFE, enabling real-time clinical form events with secure, efficient delivery.

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.