"Comment perdre du poids (How to lose weight)" matching MCP servers:

A personal calorie and protein counter MCP server for use inside claude.ai, enabling users to log meals from photos or text, track weight, and view an interactive dashboard.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Enables AI clients to search Xiaohongshu notes by brand and category, batch extract comments, and perform keyword/sentiment/heat analysis, with results exported as Excel and JSON reports.

A read-only MCP server for Amazon Redshift that leverages column comments for guided data discovery, with slash commands for profiling, exploration, and lineage.

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.

Enables automated searching and commenting on Xiaohongshu with AI-generated comments via MCP clients like Claude, supporting login persistence, note analysis, and four comment types.

Enables access to Lose It calorie tracking data including daily summaries with budgets and remaining calories, weekly history, and food logs. Integrates with the Lose It web app API to retrieve nutrition information and dietary entries for monitoring caloric intake.

A Playwright-based tool that automates Xiaohongshu (Little Red Book) interactions, enabling users to login, search for notes, view content, and post intelligent comments through natural language commands.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

Minimal MCP server for sending messages to Poke via the inbound webhook.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.