CUGA is an open-source generalist agent for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features.

The Rust SDK for building coding agents. Tool execution, LLM streaming, graph memory, sub-agent orchestration, MCP — as composable library functions.

Full-featured MCP support for Ruby and RubyLLM—making it easy to build structured, composable LLM workflows in pure Ruby.

MCP server for mobile and desktop automation — Android (via ADB), iOS Simulator (via simctl), and Desktop (Compose Multiplatform). Like Claude in Chrome but for mobile devices and desktop apps

A light touch MCP task orchestration server for AI agents. Persistent work tracking and context storage across sessions and agents. Defines planning floors through composable notes with optional gating transitions. Coordinates multi-agent execution without prescribing how agents do their work.

Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please 🌟 Star

Lightweight, composable MCP framework for TypeScript

MCP server giving AI assistants full access to Apple Mail - read, search, compose, organize & analyze emails via natural language

Build agentic-MCP servers by composing existing MCP tools.

A type-safe, declarative AI agent framework for Swift. Build composable AI pipelines with Steps, Agents, structured outputs, and tool integration. Features FIFO session management, MCP support, and distributed actor communication.

Compose, manage, and run MCP servers as Docker containers. With a Unified API gateway built in.

Turn MCP servers into composable CLIs.

AI-driven React UI effects library — 64 composable animations (cursor, scroll, text, background). Hooks + CSS + Components. CLI & MCP powered.

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.

🔧🔌 Prototype for programmatically calling and composing MCP tools

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.

A production-ready framework for composing AI agents from declarative TOML configuration, with MCP tool integration, RAG pipelines, and an OpenAI-compatible web API.

Конфиги Docker Compose для запуска различных MCP-серверов для 1С

This project provides a Docker Compose environment to run the '@playwright/mcp' server.

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MCP Composer

LLM-powered MCP server for building financial deep-research agents, integrating web search, Crawl4AI scraping, and entity extraction into composable analysis flows.

Exemplo de uso do MCP do SQL Server com um server de banco de dados containerizado e com consulta a dados de regiões do Brasil. Inclui Docker Compose para criação do ambiente de testes.

Connect and dynamically manage multiple MCP servers/tools through a single SSE interface, allowing your AI agent or AI APP to control MCP servers more flexibly

Native macOS MCP server that lets LLMs compose and play music

Lightweight, composable framework for building muti-agent systems with Model Context Protocol (MCP)

Implementação em .NET 9 de MCP Server para a geração de dados fake no padrão brasileiro em bases do SQL Server. Inclui o uso da biblioteca Bogus e de um script do Docker Compose para a montagem do ambiente de testes.

the AutoDev Next with Compose UI and MCP control backend server.

The openscad MCP server to compose openscad scripts and render them by LLM

Exemplo em .NET 9 de Console Application que faz uso do projeto Semantic Kernel, com integração com soluções de IA como Azure Open AI e Ollama na interação com um servidor MCP - utilizei o Azure MCP para testes. Inclui Docker Compose para criação do ambiente de testes com os serviços de monitoramento do Grafana + OpenTelemetry.