"MCP servers built with alternative programming languages" matching MCP servers:

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 answer food safety and shelf-life questions using USDA-grade data, with tools for shelf life, safety checks, storage tips, and waste cost calculations.

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

Provides SQL access to the ANSES Ciqual French food composition database with nutritional data for over 3,000 foods. Supports full-text search and bilingual queries for comprehensive nutrition analysis.

Enables AI agents to look up businesses, find free appointment slots, book, list and cancel appointments at salons, barbershops, nail and brow studios and clinics. Works read-only without a customer login by returning a pre-filled booking link, and can also run against a built-in demo with sample businesses.

Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.

Enables reserving, canceling, and listing fitness classes on AimHarder through natural language, with support for multiple boxes and waitlists.

An ADT-based calendar management system that enables users to create, update, and organize events by category with integrated stamina tracking functionality.

Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),

Family meal planning run by your own AI agent: it proposes ten dinners each week, the household votes and leaves feedback from personal links, the top picks win, and a grocery list is built minus what's already in the pantry. Remote MCP server at https://agentchef.net/mcp; connect with an API key and say "Run Agent Chef."

Enables MCP clients such as Claude to query Fitbit and Pixel Watch health data — sleep, steps, heart rate, HRV, workouts, weight and nutrition — through the Google Health API, with built-in OAuth 2.0 sign-in and multi-user access so it can be hosted remotely and reached from web, desktop and mobile.

A Model Context Protocol server that allows working with DICOM medical images through a simple note storage system.

leep disruption cause classifier using The Longevity Vault's 5-cause framework. Identifies the biological mechanism behind 3am wakeups from symptom descriptions. 4 tools: classify_sleep_cause, get_cause_info, list_causes, get_decoder_url. Built by Kat Fu dual M.S. (Stanford).

This MCP server provides emotional support through a rule-based system that analyzes user messages for emotional patterns and returns structured responses with self-care suggestions. It acts as a conversational assistant with ethical limitations, avoiding clinical diagnoses while offering supportive guidance.

A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.

Enables local nutrition journaling with markdown storage, including tools for logging meals, managing foods, viewing summaries, and exporting records.

Connects Aidlab wellness data to AI tools through MCP, providing read-only access to daily summaries, steps, heart rate, HRV, sleep, activities, and profile with OAuth authentication.

Enables AI assistants to fill and recalculate 67 free Arabic Excel templates using their own formulas and to run 23 built-in calculators such as VAT, BMI, due date, and gold zakat. It is stateless and keyless, storing no request content.

Enables AI agents to securely interact with FHIR R4-based EMRs, supporting read, search, create, and update operations on any FHIR resource type across systems like Epic, Cerner, and OpenEMR.

This MCP server exposes read-only Apple Health data to AI assistants via three tools (health_now, health_detail, health_trends), deployable to Cloudflare with a one-click button and no coding required.

An MCP server for macOS that shares selected folders with NeuralNexus, enabling AI avatars to read local files and analyze Apple Health data via a secure outbound relay.

Gives any MCP client local access to Garmin Connect sleep and nap data, recovery and Body Battery, training readiness and load, running tolerance, VO2 Max, race predictions, gear mileage and running summaries. It runs over stdio or Streamable HTTP and includes a credential-free demo mode with fictional sample data.

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.

Enables AI-driven weekly meal planning with structured recipes, cooking steps, and grocery lists.

Enables full integration with Strava API v3 for managing activities, athletes, clubs, segments, and routes through MCP-compatible clients like Claude Desktop.

Enables MCP clients to read and update Garmin Connect data, including activities, health metrics, training status, and more, with per-account multi-tenant authentication.

Bridges the official COROS (高驰) MCP endpoint into DeepSeek Harness or any MCP client, exposing 34 tools covering sleep, HRV, resting heart rate, recovery, training load, activities and FIT files, plus workout and training-plan creation and scheduling. It handles OAuth login, rotation-safe token refresh and MCP schema inlining locally, so users can query and manage their COROS training data through natural language with no external CLI or runtime dependencies.

Read-only MCP server with real Chinese chain-restaurant nutrition data: 103 menu items across 14 chains, calories and macros plus per-item health notes. Published on PyPI.

Enables Claude to create, list, inspect, and delete custom rowing workouts in the EXR indoor rowing app, converting intervals.icu workout documents (power, cadence, ramps, repeats) into EXR's simpler timed or distance-based blocks with dates in the titles. Runs as an AWS Lambda-hosted claude.ai custom connector with per-user OAuth sign-in, so several people can share one deployment while each only sees their own EXR workouts.