"Guide to Creating React Components" matching MCP servers:

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Enables managing Microsoft To Do lists and tasks through MCP, including creating, updating, completing, deleting, searching, and checklist operations via Microsoft Graph.

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

Enables agentic co-authoring of feature specs, decomposition into architecture-validated tickets, and idempotent syncing to Linear as projects with epics, sub-issues, and dependencies.

Lets AI agents turn a repository's git history into proposed GitHub issues grouped into units of work, each with a commit checklist and links, then create and close them only after approval. Planning is read-only and creation defaults to a dry run, skipping anything that already exists.

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.

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

Lets Claude and other AI clients read and modify Microsoft To Do through natural language, adding, completing, searching, updating, and deleting tasks and sub-steps by title and list name instead of ids. Personal Microsoft accounts need no Azure app registration — a single device-code sign-in grants access, with optional read-only and no-delete modes available.

Enables coding agents to manage Microsoft To Do lists and tasks through Microsoft Graph, with optional support for checklist items, linked resources, attachments, and delta synchronization.

A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.

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.

Enables an AI assistant to manage a simple to-do list stored in a local JSON file, with tools to add, list, get, complete, and delete tasks, plus a read-only pending tasks resource.

Enables AI agents to read and edit Microsoft To Do tasks, lists, and steps via Microsoft Graph, including due dates, reminders, and subtasks.

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

Enables Claude to create, read, update and delete Microsoft To Do lists, tasks and checklist items, and Microsoft Planner plans, buckets and tasks, through Microsoft Graph as the signed-in user. Lists, plans and buckets can be referenced by ID or exact name, with destructive deletes requiring confirmation.

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.

Enables OAuth-capable MCP clients to connect to personal Microsoft To Do accounts and read lists, create or update tasks, manage checklist items, set due dates, and complete tasks.

Provides AI assistants with tools and a resource to manage a personal to-do list, enabling adding, listing, retrieving, completing, and deleting tasks over stdio.

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.

Connects Claude Desktop to Redmine for seamless project and issue management, including searching, creating, updating, and tracking tasks using Redmine's API.

Enables MCP-compatible clients to manage Reclaim.ai tasks, including listing, creating, updating, completing, deleting, and timer operations through natural language.

Enables AI agents to manage Jira Cloud issues through natural language, including searching, creating, updating, commenting, assigning, and transitioning issues.

Enables LLMs to interact with Jira Cloud through the official REST API v3, supporting operations like creating issues, searching with JQL, fetching issue details, and managing transitions.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

MCP server to manage GestSup tickets via an LLM, with tools for creating, reading, commenting, and searching tickets.

Enables MCP clients to manage Things 3 tasks locally on macOS, including searching, creating, editing, scheduling, moving, completing, and trashing tasks through supported automation interfaces.

Enables AI agents to manage osTicket support tickets including listing, searching, reading, creating, updating, replying, deleting, managing subtickets, and downloading attachments.

A Model Context Protocol server that enables AI assistants to interact with TickTick/Dida365 task management API, supporting operations like creating, reading, updating, and deleting tasks and projects.