Descriptive, scalable, modular intent-based implementation for Model Context Protocol(MCP) in .NET

AI-powered tool fetching Reddit posts via API and analyzing trends with an LLM through a CLI.

Intelligent navigation for MCP specs with dynamic markdown trees, fast search, and upstream synchronization.

Structured toolkit for rapid development, testing, and deployment of Model Context Protocol components.

This Project aims to provide open source modules for Model Context Protocol implementations

Go-based VOICEVOX integration enabling LLM-driven speech with per-speaker controls, playback, and customizable speed, pitch, and intonation.

MCP (Model Context Protocol) と Figma API 統合の学習プロジェクト

Designed for rapid experimentation, it minimizes boilerplate while exposing data sources and utilities to language models via a simple Python interface.

MCP(Model Context Protocol) 기술 시연을 위한 Spring Boot 기반 어드민 대시보드 프로젝트

Containerized GitHub API bridge with REST endpoints, health checks, and Spring AI integration for local development.

Scalable Node.js example with modular prompts, tools, and resources, designed for protocol-driven interactions and real-time testing.

Bridge enabling cross-provider AI collaboration via tool calls, configurable reasoning, and ultra-efficient single-call context handling for production workflows.

Experimental, secure process management with user isolation and optional root access, designed for AI-assisted workflows.

Foundational MATRON-based schema with a rules-driven engine, AI prompts, and strong TypeScript safety for automated care planning.

Prompt-Critical.AI's implementation and extension of the Model Context Protocol

Gmail integration via IMAP/SMTP exposed through a high-speed framework enabling AI-driven fetch, search, unread, and send.

Comprehensive MCP server enabling Claude to generate full-stack apps with multi-database support and templates.

Prompt-Critical.AI's implementation and extension of the Model Context Protocol

Agent framework enabling structured context sharing, secure data exchange, and seamless tool integration across AI models.

A multi-client workflow unificando Spring Boot, Ollama Llama 3.2 y Gemini para procesamiento de lenguaje en un entorno distribuido.

Model Context Protocol-enabled chat interface with multi-provider tooling, automatic API adaptation, tool calling, and offline Ollama support.

Automates MCP source formatting with context-aware rules and configurable styles to ensure consistent, readable protocols.

The Model Context Protocol (MCP) Server for AetherPlatform's AI-Driven Development

Python-based MCP server enabling context-aware AI integration with LiquidPlanner data.