Data Science & ML MCP 서버

X-Act

Compose AI assistants with this library.

Huggingfetch

Accelerates HuggingFace model downloads and integrates them into various AI development clients.

VikingDB

Provides a Model Context Protocol (MCP) server to interact with a VikingDB instance for storing and searching information.

JSON Skeleton

Generates compact, structural representations of large JSON files to facilitate understanding without the full data payload.

Model Context Protocol Server

Empowers AI assistants to safely utilize external tools by processing data and providing helpful error messages.

Covid Stats

Fetches real-time COVID-19 statistics for any country.

DEX K-line

Streams K-line (candlestick) data from decentralized exchanges (DEXs) to power AI agents and workflows.

Oraichain

Enables the building and deployment of AI agents with blockchain capabilities.

BigQuery

Enables Large Language Models (LLMs) to understand BigQuery dataset structures and execute SQL queries.

Vero

Provides a modern, open-source analytics stack designed for data-driven organizations.

Math

Facilitates mathematical computations through a Model Context Protocol server.

Pokemon

Provides standardized access to comprehensive Pokemon data through an MCP server.

Okx

Fetches real-time cryptocurrency data from the OKX exchange for use with AI assistants.

AVS Docs

Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.

Devlog

Provides a persistent memory system to combat AI memory loss in large-scale coding projects.

Akave

Enables AI models to interact with Akave's S3-compatible storage for managing buckets and objects.

Jcrawl4ai

Integrates with the Crawl4ai API, enabling web crawling using specified strategies and providing access to crawl results.

Stocknews

Provides real-time stock data, historical information, and related news.

Fetch

Enables LLMs to retrieve and process content from web pages by converting HTML to markdown.

Mongo

Connects Large Language Models to MongoDB databases for CRUD operations using natural language.