Data Science & ML MCP 서버

ConceptNet

Provides structured access to the ConceptNet knowledge graph, delivering semantic knowledge for Large Language Models and AI applications.

Snapshot

Preserve and resume AI conversation context efficiently across sessions with minimal token overhead.

Pitstop

Delivers comprehensive Formula 1 championship standings, race analytics, and telemetry data to your AI assistant.

Personal RAG

Share personal context from documents, notes, and conversations across various AI environments and applications.

Confluence Knowledge Base

Transforms Confluence documentation into an AI-powered knowledge base, enabling natural language queries via Gemini CLI.

LexLink

Integrates the Korean National Law Information API to provide structured access to laws, precedents, and legal interpretations for AI agents and LLM applications.

Epsilla

Facilitates Model Context Protocol interactions with Epsilla vector database.

MedX

Enables AI agents to access medical AI capabilities via a RESTful API, facilitating advanced diagnostic support and personalized healthcare.

Astrophysical App

Provides an OpenAI application and server to answer questions about astrophysical bodies by fetching real-time ephemerides.

Sokosumi

Connects AI agents to the Sokosumi platform, enabling natural language interaction for managing AI agents, creating jobs, and monitoring their execution.

Rag Pipeline Research

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

Utility Patent Reviewer

Empowers inventors to draft examination-ready patent applications by leveraging Claude AI with instant access to USPTO rules and millions of patents.

Memory

Provides an enhanced Model Context Protocol memory server with advanced features for knowledge graph storage, search, and export.

Knowledge Graph Memory

Manages an enhanced knowledge graph-based persistent memory system enabling AI models like Claude to retain information across conversations.

YouTube

Enables AI assistants to access and analyze comprehensive YouTube channel data and facilitate content strategy.

Server Boilerplate

Accelerates the development of Model Context Protocol (MCP) servers with a production-ready Python template.

Flow

Streamlines API integration for AI systems by adapting and exposing REST APIs through a standardized Model Context Protocol (MCP) interface.

Dotnet

Enables language models (LLMs) to access external data, tools, and custom systems via a .NET-based Model Context Protocol (MCP) server.

Spring AI Example

Demonstrates Spring AI tools implementation with an MCP server and agentic AI proposals.

Trendwatch

Provides a FastMCP server to automate the collection and analysis of trending YouTube Shorts, enabling integration with AI platforms.