"Hearth" matching MCP servers:

AI-native open-source 2D game engine whose MCP server exposes every editor operation to coding agents as typed commands, so an agent can build, run, and verify a game inside the editor. It runs locally on macOS, Windows, and Linux with no cloud service or API key.

Enables ChatGPT to run a durable, sandboxed Windows workspace from a local MCP endpoint: spawning bounded commands, reading, writing, patching and undoing files with receipts, storing large output as artifacts, scheduling and waiting on durable jobs and closed typed scatter flows with per-conversation mailboxes, and driving desktop UI Automation. It also supports recipes, checkpoints, append-only event logs, and continuations, all backed by a single local SQLite database with strict schemas and localhost-only binding.

MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.

Exposes Mireye Earth's geospatial data API as MCP tools (mireye_ask and mireye_fetch) for querying location-based information like elevation, flood zones, and wildfire risk for US places.

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.

Query your Apple Health data including sleep, heart rate, steps, workouts, and more by ingesting an exported XML archive into a local SQLite database.

MCP server for AI agent deployment health — gateway status, CPU/memory/swap, recent errors from journalctl/dmesg, skill registry integrity, upgrade outcomes, cron + disk usage. Each component gets HEALTHY/DEGRADED/CRITICAL classification with overall rollup.

An MCP server that enables AI agents to query Apple Health data (190+ metrics) in natural language, including trends, comparisons, and structured exports.

MCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.

Enables client success teams to get instant, natural-language health reads on client accounts with tools for overall health, low-performing courses, and launcher-only clients.

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.

Hearthstone MCP server with card search, deck analysis, and strategy coaching. Gives LLMs access to every Hearthstone card plus built-in strategy knowledge for deck building and gameplay advice.

Enables AI agents to securely read and analyze your Google Health data from Fitbit, Pixel Watch, and Health Connect, providing baseline-aware insights, readiness scores, trends, and anomalies while keeping data local and read-only.

MCP server for Obsidian vault structural health checks. Find broken wikilinks, orphaned notes, and missing frontmatter, with optional auto-repair.

MCP server for querying Korean occupational safety, health, and chemical regulations, including MSDS, KOSHA GUIDE, and legal information.

An MCP server that allows users to query and analyze their Apple Health data using SQL and natural language, utilizing DuckDB for fast and efficient health data analysis.

Provides local, read-only MCP access to Google Health API v4, enabling users to query recorded workouts, heart-rate samples, and related health data through natural language in an MCP client.

Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.

A Claude-compatible MCP server that exposes health-domain tools over 100% synthetic data, built with security and compliance in mind.

Provides comprehensive code quality analysis with quantitative metrics, historical trends, and refactoring risk prediction for C#, Python, and TypeScript codebases.