Data Science & ML Servidores MCP

Multi-Agent E-commerce

Orchestrates an e-commerce system using collaborative AI agents for customer consultation, inventory management, and automated order processing.

Full Stack Developer

Automates the rapid generation of high-quality Next.js applications using AI-driven context engineering and a structured development methodology.

Scholar

Searches and retrieves academic papers from major databases like arXiv and DBLP, providing detailed information and PDF download links.

Comfy

Generates images from text prompts by leveraging a remote ComfyUI server through the FastMCP framework.

Jieba

Encapsulates the powerful jieba Chinese word segmentation library as a Model Context Protocol (MCP) server, offering robust text processing capabilities for various applications.

Godot

Enables AI assistants to interact with the Godot game engine, offering control over the editor, projects, and scenes.

Cozmo

Enables AI clients to control Digital Dream Labs and Anki Cozmo robots by acting as a Model Context Protocol (MCP) server.

MindMesh

Orchestrates a swarm of specialized Claude 3.7 Sonnet instances to generate optimally coherent responses through ensemble intelligence.

Fusion360

Empowers large language models to execute 3D modeling operations in Fusion 360 through natural language commands.

HK Food

Provides access to government food-related data in Hong Kong through a FastMCP interface.

Open Food Facts

Provides AI assistants with access to the Open Food Facts database for detailed food product information, nutritional data, and environmental scores.

Rag Pipeline Research

Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.

Formula-1

Provides a language model wrapper for analyzing Formula 1 data, leveraging the Fast-F1 library.

Go JQ

Query JSON data using jq syntax, operating as both an MCP server and a standalone command-line tool.

CodeFlow

Optimizes understanding of complex codebases by generating detailed call graphs, identifying critical elements, and providing semantic search capabilities.

Black Forest Labs

Empowers AI assistants to generate images using the Black Forest Labs API and FLUX models.

AI Model Context

Facilitates the creation and connection of Model Context Protocol (MCP) servers to AI clients and local LLMs.

Web Cat

Enhances AI models with web search and content extraction capabilities through Python-based APIs.

DDC/CI Control Bridge

Facilitate seamless management of DDC/CI-enabled monitors, integrating them into automation projects via an MCP server and MQTT client.

Weather

Provides real-time weather information to AI models via the Model Completion Protocol.