"Open-Source MCP Server in Python with PostgreSQL and OAuth 2.0" matching MCP servers:

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

CC0 open-data registry of community support helplines worldwide. TypeScript MCP server providing verified contacts with citation, staleness, and country-context guardrails. 15+ countries indexed.

Connects AI agents to the Pilates With Neelam studio management platform, enabling natural-language class search, real-time availability checks, bookings, level assessments, and post-class check-ins.

Enables AI assistants to access Oura Ring health data including sleep, readiness, activity, heart rate, and workouts through MCP tools with OAuth2 authentication.

Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.

Enables MCP clients to look up products by barcode, search products and text, retrieve taxonomy suggestions, and compare nutrition data through read-only tools.

Provides read-only access to Oura Ring health and activity data, including sleep, readiness, activity, stress, SpO2, resilience, workouts, sessions, and heart rate via the Oura API v2.

Enables users to interact with their Strava data through natural language to analyze workouts, track fitness progress, and explore routes. It supports retrieving detailed activity stats, heart rate data, and segment insights directly within AI assistants.

Enables AI assistants to access food product information, providing nutritional analysis, product comparisons, and recipe suggestions using the Open Food Facts database.

Enables AI assistants to access food product information from Open Food Facts, including nutritional analysis, product comparisons, recipe suggestions, and allergen checks.

A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.

MCP server for tracking nutrition meals and workouts, integrating with claude.ai to manage food logs, macros, exercise catalogs, and generate daily/weekly summaries.

Enables LLMs to search for food products and retrieve detailed nutritional information from the Open Food Facts database using product names or barcodes.

Enables users to access curated official Korean pregnancy and childbirth sources and find hospitals using HIRA directory facts.

MyChart MCP Server

Privacy-first MCP server for querying personal health and finance data with AI. Built with Python, FastMCP, and SQLite. Local-first and open source.

Enables AI assistants to interact with MyFitnessPal data including food diary, exercises, body measurements, nutrition goals, and water intake through natural language.

Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.

Exposes WHOOP recovery, sleep, strain, and workout metrics to MCP-compatible AI assistants using OAuth 2.0 authentication, enabling daily wellbeing snapshots, trend analysis, and workload recommendations.

Enables AI assistants to create, validate, and track personalized, location-aware exercise and eating routines using local profiles and open data, with privacy and safety guardrails.