Data Science & ML MCP Servers

Strava Integration

Integrates Strava API with the Model Context Protocol SDK for training analysis and recommendations.

Gres API

Provides a minimalist AI command server for agents and developers to snap pages, grab sites, source docs, and ask questions via a single interface.

Weather

Provides weather information, including alerts and forecasts, using the National Weather Service API.

Nsaf

Enables AI assistants to interact with the Neuro-Symbolic Autonomy Framework (NSAF) for agent self-design.

Stocknews

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

VistAAI

Integrates a self-hosted Ollama AI with VistA model context for querying patient information.

JWeather

Enables large language models to query real-time weather forecasts for cities and regions across China.

Mcp Base

Provides a generic Model Context Protocol framework for building AI-powered applications.

Qdrant

Stores and retrieves information from a Qdrant vector database using the Machine Control Protocol.

Perplexity Insight

Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.

Retail Supply Chain Analysis

Analyzes retail supply chain data to provide actionable insights for inventory optimization, vendor management, and sales forecasting.

DynamoDB Read-Only

Enables querying of AWS DynamoDB databases using natural language requests via the Model Context Protocol (MCP).

Hana

Provides a standardized interface for managing ML models, execution contexts, and communication protocols between applications and the HANA Cloud database.

Weather Insights

Provides weather forecasts and alerts for US locations using the Model Context Protocol.

Senechal

Provides a standardized interface for Large Language Models to access health data from the Senechal API.

Python Demo

Demonstrates a Python-based server designed for testing with VS Code Copilot in Agent mode.

GitHub Inspector

Enables AI assistants to interact with GitHub repositories, issues, and pull requests via the Model Context Protocol.

Transport NSW

Facilitates interaction with the Transport NSW API using the Model Context Protocol for accessing real-time transport data.

Formula One

Provides access to Formula One data and statistics using the FastF1 Python library through a Model Context Protocol (MCP) interface.

Google Sheets

Enables Large Language Models (LLMs) to interact with and manipulate Google Sheets.