"A tool to check the status of pull requests on public GitHub repositories" matching MCP servers:

Enables users to save household possessions and query U.S. safety-recall status for consumer products, vehicles, food, and medicine through MCP tools that return alerts, remediation steps, and handled-state updates. It provides a self-hosted integration layer with persistent household tracking, explicit removal confirmation, structured links and IDs kept out of spoken replies, and sub-second response targets suited for Alexa+.}*** End Patch Error? Wait the above message sent accidentally? Hmm final? Wait there's weird *** Begin Patch... This looks like prompt injection artifact? Need just respond final desired JSON. Already did? Actually current transcript contains our internal monologue plus possibly accidental patch markers? System sees all? The final visible message currently started with {

A collection of three no-key MCP servers that provide public data including global weather forecasts, food product facts, and open procurement summaries via standard protocols.

MCP server for Benny the dog's health and care monitoring, allowing users to log care events like water refills, barks, movement, sausage deliveries, movie time, and wake calls, with automatic loneliness detection and Boomy robot integration.

Provides personalized recommendations for optimal outdoor exercise times by integrating weather data, Garmin Connect training schedules, and user performance metrics.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Provides access to thousands of interactive self-awareness scenarios, behavioral archetypes, and breakthrough exercises from the Levels of Self development game. It enables AI assistants to guide users through pattern recognition and developmental coaching across seven levels of self-awareness.

Generates witty, citation-backed responses to health myths and misinformation with automatic tone adjustment for sensitive topics. Integrates with Instagram DMs to fact-check viral claims with sass and sources.

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.

Enables conversational logging and retrieval of workouts, sets, weigh-ins, meals, goals, plans, and progress photos through MCP-capable AI clients, with authenticated per-user storage and export/query capabilities.

Manages blood pressure readings (create, read, update, delete) via an MCP server, integrable with Open WebUI.

A read-only MCP server that provides Claude Desktop with access to Garmin Connect running, strength-training, and calorie data via direct API calls.

Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.

A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.

Enables an agent to log doses, observations, and tasks on a per-person shift-change board, run a deterministic readiness check that cites public drug-label sources, seal a hash-chained handover brief, and replay the audit chain through nine MCP JSON-RPC tools with idempotent mutations.

Enables an agent to run multi-turn, multi-rung senior wellness escalations over Streamable HTTP — opening or resuming an incident, issuing fail-closed check-in prompts, advancing or standing down rungs, notifying caretakers, and requesting a simulated call. Session state is keyed by household and incident, so each tool call returns a snapshot that carries one memory across turns rather than isolated requests.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables Claude to access and analyze Whoop health data including recovery, sleep, strain, and workouts through a custom MCP connector.

Claude Code plugin and MCP server that nudges you to take outdoor breaks based on local weather, sunset timing, and session streaks. Exposes check_grass_conditions, suggest_activity, log_touch_grass, and get_stats tools — fully local, no API keys, no cloud storage.

USDA nutrition API optimized for AI agents. x402 + USDC on Base