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

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

A Model Context Protocol (MCP) server that enables AI assistants like Claude and Cursor to interact with Microsoft To Do via the Microsoft Graph API.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

Lightweight project management for teams and AI agents.

Enables AI agents to manage Kanban boards, cards, sessions, and automations through a unified MCP interface with real-time updates, supporting delegation, agent sessions, and human-in-the-loop interactions.

Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.

MCP server that provides read and write access to Trello boards, enabling AI assistants to list, search, create, update, move, comment, label, and archive cards via natural language.

Provides read-only access to Jira, enabling users to retrieve issue details, comment threads, linked-issue context, epic children, and JQL search results as compact Markdown.

MCP server for Jira Server/Data Center that enables issue retrieval, JQL search, comment posting, and Tempo worklog queries via the atlassian-python-api.

A minimal MCP server that exposes a focused set of GitHub PR review tools to AI agents, enabling PR listing, detail retrieval, comment viewing, and thread management.

Enables AI agents to interact with issue, comment, document, and agent workflows through a simplified HTTP API, returning compact Markdown or file-based snapshots.

A production-ready MCP server for triaging and reviewing GitHub pull requests via the GitHub REST API, providing typed tools to list, inspect, comment, add labels, and submit reviews.

Integrates Jira and Sourcegraph, enabling LLMs to retrieve and comment on Jira issues and perform code searches using Sourcegraph.

Connects MCP-compatible AI tools to ScrumDo boards, enabling card, task, comment, and search operations without manual copy-pasting.

MCP server for Plane, the open-source project management tool, exposing a focused set of task and comment management tools for a single Plane project. Includes a setup wizard to bind a local folder to a Plane project and configure Claude Code or Codex.

A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy and activity logging — so LLMs never lose track. No more scattered markdown files. saga-mcp gives your AI assistant a structured database to track projects, epics, tasks, subtasks, notes, and decisions across sessions.

MCP server for Redmine that lets coding agents read and write Redmine: search issues, view histories, comment, log time, browse wiki, and download attachments. Enforces explicit user permission for any write operations.

MCP server for Planfix API enabling task, project, contact, and comment management with 10 tools and 2 skills.