Data Science & ML MCP 서버

Apache HBase by CData

Exposes Apache HBase data as a read-only Model Context Protocol (MCP) server for querying via Large Language Models.

Python Interpreter

Enables interaction with a Python interpreter and file system within a Docker container environment.

DDGS

Provides a Model Context Protocol (MCP) server for performing DuckDuckGo searches.

Agentic Long-Term Memory

Empower AI chatbots with sophisticated long-term memory, comprehensive Notion workspace integration, and standardized tool communication via Model Context Protocol.

Table Backuper

Manages and lists SQL Server table backups via MCP.

Specs Workflow

Automates and manages specification workflows, streamlining AI tasks from requirements to design while ensuring business alignment.

Model Context Protocol

Enables building and running Model Context Protocol (MCP) servers to expose tools and functions over streamable HTTP for AI assistants.

Model Context Protocol

Enables AI models to interact with external tools and data sources.

Qlik

Integrates AI assistants with Qlik Sense applications, providing comprehensive access to detailed Qlik data through a Model Context Protocol server.

Windows ChatGPT

Enables Claude Desktop and VS Code Claude CLI to interact with ChatGPT on Windows 11 systems via the Model Context Protocol.

Arch

Enhances AI assistant capabilities with robust context management, accuracy enforcement, and safety protocols.

Learn

Integrates a specialized math server with LangChain, enabling advanced computational capabilities for AI applications.

FastMCP Starter

Provides a foundational Model Context Protocol (MCP) server implementation built with FastMCP.

Reddit

Enables Large Language Models to interact with Reddit's public API to access posts, subreddit information, and comments.

Cntx UI

Bundles and organizes project files for AI development workflows, offering a web UI and Model Context Protocol (MCP) server for seamless LLM consumption.

Vito

Implements a Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) applications, supporting Qdrant and Chroma vector databases.

AI Response Time Statistics

Monitors and compares the response times of GitHub Copilot and other AI models.

Prombank

Manages AI prompts efficiently, offering CRUD operations, advanced search, and seamless AI integration.

AST2LLM for Go

Parses Go source code into an Abstract Syntax Tree (AST) and converts it into a clean, LLM-friendly format to enhance prompt context.

OpenSCAD

Provides OpenSCAD rendering capabilities through a standardized Model Context Protocol interface.