"OSINT (Open Source Intelligence) resources and techniques related to Brazil" 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.

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.

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

Connect your Amazfit / Zepp watch to Claude. Free and open-source.

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

MCP server that enables AI assistants to access Whoop health data including recovery, sleep, workouts, and daily strain for personalized health recommendations.

Enables Claude to query personal WHOOP health data including recovery, sleep, strain, workouts, and profile via WHOOP's OAuth 2.0 REST API.

Provides six deterministic, source-attributed hydration calculators (water intake, dehydration check, pregnancy intake, kidney-safe intake, athlete plan, energy optimization) as MCP tools, enabling AI clients to call them via stdio without custom HTTP coding.

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 read-only access to RENPHO Health smart scale measurements through MCP, allowing users to retrieve latest readings, body composition history, and weight trends via an MCP client.

Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.

Enables AI assistants to access and analyze Polar device health data, including exercises, heart rate, sleep, and recovery metrics, by preprocessing raw sensor data into compact summaries to avoid context window overload.

Gives Claude access to your WHOOP health data including recovery, sleep, workouts, cycles, body measurements, and profile via the WHOOP Developer API.

Minimalist Strava integration for Claude with 7 focused tools for querying athlete stats, activities, zones, and segment analysis.

MCP server for the Oura Ring API v2, providing access to sleep, activity, readiness, heart rate, and workout data via OAuth.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

Exposes Strava training data to Claude for coaching, planning, and analysis via a read-only MCP server with OAuth and Docker support.

Connects AI agents to Iridium fitness data to query workout history, nutrition logs, and body measurements. It enables users to track exercise progress, training volume, and personalized trainer analysis through natural language.

Enables AI assistants to read and log MyFitnessPal nutrition data, including tracking calories, macros, searching foods, and adding meals through natural conversation.

Enables AI assistants like Claude to interact with TrainingPeaks, allowing users to query workouts, build structured intervals, track fitness trends, and add comments through natural language, with automatic secure login.