Data Science & ML MCP 서버

Hive

Enables AI assistants to interact with the Hive blockchain using the Model Context Protocol.

StatCan API

Provides an MCP server to access and analyze Canadian statistical data from Statistics Canada.

Devlog

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

Vidu

Generates videos from static images using the Vidu video generation API.

Fujitsu Social Digital Twin

Enables natural language interaction with Fujitsu's Social Digital Twin API, allowing users to execute economic and social simulations from LLMs.

Tmdb

Enables AI assistants to interact with movie data from The Movie Database (TMDB) API.

Tmdb

Enables AI assistants to search and retrieve movie information from The Movie Database (TMDB) API through the MCP interface.

AI Agent Bot

Develops a personalized AI agent bot utilizing multiple MCP servers.

Spring AI

Demonstrates Spring AI's integration with Model Context Protocol (MCP) for building Spring Boot applications with server and client functionalities.

Github

Automate GitHub operations and interact with the platform using LLM-compatible tools.

Data Analytics Server

Provides a comprehensive data analytics environment, accessible through a web interface, for processing, analyzing, and visualizing data.

Farcaster

Enables AI models to interact with the Farcaster network, fetching casts, searching channels, and analyzing content.

Gaia Vault

Enables secure, type-safe interaction with Azure Blob Storage via the open Model Context Protocol (MCP) for seamless file management.

Mollie

Enables querying Mollie payment data using natural language via an LLM.

Fetch

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

Biel.ai

Connects AI tools and IDEs to your product documentation through a hosted Retrieval-Augmented Generation (RAG) layer.

Prometheus

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

Futu

Executes trading strategies by subscribing to stock data and generating signals based on real-time updates.

Serve

Run and serve deep learning models with shell execution and containerization options.

MonkDB

Serves as a standardized bridge between large language models and MonkDB, enabling advanced database operations through natural language.