Data Science & ML MCP 서버

Template

Provides a comprehensive Model Context Protocol (MCP) server template for Node.js with TypeScript, supporting both stdio and SSE transports.

FaceTron

Provides a high-performance face embedding server utilizing ONNX Runtime for scalable face recognition applications.

PromptStudio

Organizes, tests, and manages AI prompts with collections, dynamic variables, execution history, and Model Context Protocol (MCP) integration.

TAK Server

Integrates TAK Server with AI systems to provide geospatial-aware deep research and analysis capabilities.

AEMET

Retrieves historical climate and meteorological data from the AEMET API for use with MCP-compatible clients.

Scenext

Generates educational explanation videos based on topics using the Scenext AI video generation platform.

Mcp Servers

Extends AI model capabilities with a collection of Model Context Protocol (MCP) servers that provide access to various tools and resources.

Personal Notes Assistant

Indexes and enables natural language querying of your Obsidian notes through a Retrieval-Augmented Generation (RAG) server.

Pokemon

Provides Pokemon information retrieval, comparison, type matchup analysis, and team composition suggestions.

RSS

Enables large language model interaction with RSS readers that support the FreshRSS API.

Ephor

Facilitates collaborative AI agent interaction by allowing them to share and reflect on each other's responses to the same prompt.

RAG & Code Validation

Empowers AI agents to learn from the web and validate their generated code against a knowledge base, effectively preventing hallucinations.

MeMCP

Provides Large Language Models with persistent memory capabilities, enabling continuous learning and knowledge retention across sessions through the Model Context Protocol.

Blue Perfumery

Provides AI assistants with seamless access to perfume collection data, enabling discovery and direct purchasing.

Prometheus

Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.

Nasa Data Explorer

Queries NASA APIs and provides structured data for astronomy pictures, Mars rover photos, Earth satellite images, near-Earth objects, and space weather.

Parquet

Enables web searches and information extraction from previous searches, designed for Claude Desktop integration.

Jarvis

Provides a zero-friction Model Context Protocol (MCP) server that safely and deterministically connects AI agents to the real operating system with high performance.

Civitai

Enables AI assistants to browse, search, and discover AI models, creators, and generated content from Civitai via the Model Context Protocol.

MoziChem Hub

Provides a modular Python toolkit for creating Model Context Protocol (MCP) modules specifically designed for chemical engineering and chemistry workflows.