Context-aware orchestration with modular prompts, retrieval integration, and secure plugin extensions for flexible, governed deployments.

Event-driven trigger server shaping adaptive model-context interactions via external signals.

Lightweight C++ runtime focused on integer exceptions and simple memory wrappers for bare-metal and low-end devices.

High-performance, protocol-first solution for scalable context-aware model hosting and orchestration.

Lightweight Python implementation enabling modular context routing with extensible adapters.

Python-based Mocopi data sender enabling direct local delivery and internet transmission via MCP.

Lightweight, extensible MSP 2.5 server in Python enabling modular model context exchange.

Lightweight Java agent enabling context-aware tool orchestration with pluggable integrations and asynchronous messaging for scalable deployments.

Python-based, modular implementation of the Model Context Protocol 2.5.5 featuring extensible context handling, dynamic tool support, and lightweight, production-ready orchestration.

Python-based 2.0 protocol implementation with modular plugins and lightweight context handling for scalable cross-agent coordination.

Minimal Python MCP 2.5.1 server with context handling and extensibility.

Lightweight, plugin-driven MCP 2.5 with efficient context exchange and secure session management for AI tooling.

Lightweight Python-based implementation of Model Context Protocol 2.0 with extensible plugins and interoperable context sharing.

Python-based 2.0.5 module enabling dynamic context handling, lightweight governance, and plug-in extensibility for advanced LLM workflows.

Python-based, versioned protocol router with modular adapters and policy-driven routing for scalable, secure LLM interactions.

Minimal Python MCP server designed to enable model context sharing and action routing across AI agents. It provides a clean, extensible foundation for experimenting with context windows, prompt orchestration, and back-end adapters, enabling rapid prototyping of multi-agent workflows in research and development.

Modular, Python-based extensions to customize MCP 2.5 context, tools, and policies.

Lightweight Python MCP 2.5 server enabling efficient model-context mediation with extensible hooks.

Lightweight Python implementation featuring modular plugins and asynchronous context management for scalable model interactions.

Lightweight Python implementation enabling scalable model context management, modular plugins, secure routing, and cross-service coordination.

Lightweight Python-based context protocol implementation with modular adapters enabling flexible, interoperable model communications.

Minimal Python MCP2.5 server skeleton with modular context handling; lacks documentation.

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.