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

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

Enables forwarding Douyin or Bilibili video shares to Kimi for AI analysis and automatically writing the resulting Chinese notes into an Obsidian vault.

Enables writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

Converts XMind mind map files into structured Markdown documents, preserving hierarchy and optionally including metadata.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Enables users to manage a personal to-do list backed by SQLite, adding single or multiple tasks, listing incomplete tasks, renaming or updating task status, and marking tasks complete. All state persists in a local database created automatically on first run.

Converts rough notes into a citation-grounded report, verifying each claim against source notes and handing off to SuperDocs with a faithfulness circuit breaker.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Enables operating Notion pages and databases through a single Markdown document, supporting read, write, search, list, update, schema, comment, delete, and move operations in one call.

Enables an AI assistant to browse folders, search and read notes, create and edit them, and move notes between folders within an account. Runs locally through a supported MCP client and supports basic Markdown while refusing edits that would lose existing formatting.

Enables MCP clients to search, read, write, and organize pages, spaces, comments, attachments, labels, and member access in self-hosted Docmost Community Edition wikis via its internal HTTP API, using Markdown for page and comment bodies.

Enables AI clients to read and edit a self-hosted wiki as each member’s own account, with mandatory OAuth 2.1 or bearer-token authentication, scoped write/delete permissions, encrypted pre-change snapshots, and safe page/comment operations.

An MCP server that enables AI assistants to interact with the Notion API, allowing them to search, read, comment on, and create content in Notion workspaces through natural language commands.

MCP server with 23 tools for full Notion integration, enabling database, page, block, user, search, comment, template, and duplication operations through natural language.

Enables Claude to search your team's design and issue comment threads from Figma, Jira, and Notion, answer questions with citations, surface feedback relevant to the code you're editing, and post replies or close threads after your confirmation.

Enables agents to share and hand off documents with stable URLs, comment, and group docs under a drop key, with tamper-evident versioning and no account required.

Gives AI clients token-authenticated read/write access to Notion, letting them create and rewrite pages, query databases, append blocks, apply templates, comment, and upload files through natural language. It exposes 47 operations behind only three tools to keep context usage small, and runs headless with batched mutations, idempotency keys, and retry on rate limits.

MCP server for collaborative markdown editing, allowing agents to write documents and humans to comment, with comments fed back as agent input.

Gives AI agents and MCP clients token-authenticated read/write access to a Notion workspace, letting them search, create and edit pages, query databases, comment, and upload files in plain language. Writes are batched with atomic rollback and idempotency keys, pages round-trip as markdown, and it runs headless in CI or cron jobs.

Connects AI agents such as Claude, Cursor, and VS Code to Notion using a single token, enabling them to create pages, query databases, append blocks, apply templates, comment, and upload files through plain language. It also runs headless for automation and CI, exposing 47 operations behind three compact tools to keep context usage low.

Connects AI agents to a Notion workspace with token-based authentication, letting them create and edit pages, query databases, append blocks, apply templates, comment, and upload or read files through plain-language requests. Its three-tool, context-efficient design and built-in batched, idempotent operations support headless automation in CI, cron jobs, and self-hosted agents.

Gives MCP clients read/write access to Notion through a single token, letting AI agents search, create and edit pages, query databases, comment, and upload files in plain language. Works on every Notion plan and runs headless in CI, cron jobs, and self-hosted environments.

Gives AI agents read/write access to Notion through a token-authenticated Model Context Protocol server, so they can create pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It packs 47 operations behind three lightweight tools and runs headless for agents, automation, CI, and self-hosted deployments.

Lets Claude or any MCP client query a Neo4j index of a markdown vault, answering what is connected to a note and how far, how two notes relate, which notes are orphans or dangling links, and running read-only Cypher.

Enables local management of household pet care notes—vet-visit histories, medication organizers, weight trends, feeding notes, and groomer/sitter handoff summaries—stored in plain JSON files over MCP stdio with no network calls.

Connects AI agents and MCP-speaking clients such as Claude, Cursor, VS Code and ChatGPT to Notion using a single token, enabling them to create and edit pages, query databases, append blocks, apply templates, comment, and upload files in plain language. It runs headless for CI and background agents, keeps context usage low by loading only three tools, and supports batched mutations with idempotency and retries.

Enables AI agents to interact with Notion workspaces through the Notion API, allowing them to search, read, create, and comment on pages and databases with optimized token consumption.