Python-based context provisioning with modular plugins, lightweight IO, and flexible hooks for tailored multi-service workflows.

Lightweight, Python-based orchestrator coordinating protocol-compatible modules with adapters for data and tools; emphasizes clean routing and minimal configuration.

A lightweight, plugin-driven runtime for context orchestration, real-time routing, and state synchronization across model components.

Production-ready Node.js bridge enabling AI agents to automate real browsers via dual transport: STDIO JSON-RPC and HTTP dashboard, with persistent sessions, vision analytics, and a developer-friendly dashboard.

A modular toolkit uniting Zotero workflows, BibTeX sync, and AI-assisted literature discovery for streamlined research.

A minimal MCP server emphasizing extensibility and clean, plugin-based integration for context-driven web services.

Python-based toolset exposing device state and config actions over SSH for Arista EOS, with Claude Desktop integration and robust parsing.

Lightweight, TypeScript-friendly toolkit enabling modular, plug-in driven context orchestration with adapters and a lean runtime for scalable, interoperable workflows.

Lightweight, Python-based component enabling dynamic model context routing with plugin extensibility, optimized for fast integration and modular deployment.

Standalone MCP servers for Claude Code, AI coding agents, and automation workflows

Python-based fast math toolkit with extensible tools and resources; decorators add functions and prompts, including area, perimeter, and arithmetic.

AI-driven control plane with a real-time policy dashboard and a plug-in tool interface for customized agent tooling.

MCP servers for: memory

Lightweight, TypeScript MCP server delivering real-time, typed context exchange with pluggable adapters.

AI-powered device automation with natural language control, task orchestration, and cross-client support.

description

mcp server

Lightweight JavaScript module enabling model-context integration with pluggable adapters and event-driven communication.

AI-enabled flow designer and executor for Kubernetes, with CRD-driven workflows and modular operators, all without a hosted backend.

MCP Server

Lightweight Java-based platform enabling dynamic model context sharing, prompt routing, and extensible integrations for scalable LLM workflows.

Modular Python platform for context routing with extensible plugins, secure APIs, and multi-source enrichment.

n8n-based bridge for Model Context Protocol enabling seamless automation workflows with pluggable adapters and context-rich data routing.

Minimal, extensible framework enabling flexible context exchange among models with pluggable adapters and protocol handlers.