Search

Server-side application for the Model Context Protocol inspector

Pollo AI Model Context Protocol (MCP) Server for video generation

A to-do list MCP server built with Bun

[![MCP Protocol](https://img.shields.io/badge/MCP_Protocol-2025--11--25-blue?logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0id2hpdGUiPjxjaXJjbGUgY3g9IjEyIiBjeT0iMTIiIHI9IjEwIiBmaWxsPSJ

Suite completa di MCP server per sviluppatori

OpenClaw plugin that exposes MCP tools

MCP server for AI-assisted conflict resolution — REST + embedded modes, 13 tools

MongoDB MCP server for local mongodb queries

MCP server for Runrun.it API - Tasks, Comments, Projects

Minimal MCP server for UXPressia

MCP server for the Lighthouse CRM API

Official CLI for Magic UI

MCP server for interactive user feedback with screenshot capture in AI-assisted development tools.

MCP server for Synology NAS — manage files, containers, and more via Claude

Persistent 4-tier AI memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb.

An MCP server that generates high-quality blog cover images using Google Gemini AI and automatically uploads them to Qiniu Cloud storage. It provides automated WebP conversion and compression to deliver optimized CDN URLs for generated images.

Provides tools for analyzing and generating content in the Frasurbane aesthetic through a structured taxonomy of typography, color palettes, and photography parameters. It enables users to enhance image-gen prompts and evaluate compositional tension using a specialized 5D coordinate system.

Enforces GINIALTECH project conventions and protects critical files while providing project context to AI agents. It ensures adherence to specific language requirements and the use of Bun as the exclusive package manager.

A comprehensive toolkit of 23 developer utilities that enables AI assistants to perform tasks like encoding, cryptography, and data generation locally without requiring API keys. It streamlines workflows by providing tools for JWT decoding, UUID generation, regex testing, and JSON formatting directly within the chat interface.

Converts natural language descriptions into validated CanvasXpress JSON configurations for chart generation using RAG and a built-in visualization knowledge base. It supports over 70 chart types and ensures generated configs are compatible with provided data headers and column types.