"Using AI to control and access data from Home Assistant and smart home devices" matching MCP servers:

Enables Alexa+ and other MCP clients to manage a household's shared shopping list, bills, chores, and pantry expiry through natural-language voice interactions. It provides read-only briefings and confirmation-gated updates for recurring household logistics.

Enables interaction with XTRF translation management system through their Home Portal API. Provides access to XTRF's project management, translation workflow, and client portal functionalities via natural language interface.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Enables turning Gmail messages and natural-language requests into reviewed, workload-aware Things 3 tasks, with read-only Gmail access and explicit approval before anything is created.

Enables secure access to Vikunja projects and tasks via MCP tools, protected by Cloudflare Access and designed for remote clients like ChatGPT.

MCP server that triages GitHub issues by classifying, ranking priority, and assigning an engineer using a local LLM (Ollama) with full traceability.

An MCP server that connects Claude to your real GitHub activity and tells you what to build and ship publicly to make your resume credible.

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.

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 Claude to interact with AMPERA Mission Control to read and write organizational data (initiatives, tasks, risks, decisions, etc.) with role-scoped permissions via the Mission Control REST API.

Enables AI agents to securely read, plan, and sync real trips from the Trek WeChat mini-program via authenticated remote MCP, supporting tools for itinerary management, reservations, and file attachments.

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.

Enables job seekers to structure job descriptions, search a personal Markdown profile with hybrid BM25/dense retrieval, and compare a posting against that profile to see which requirements are supported, weak, or missing evidence. It also tracks applications and follow-up deadlines through JSON-backed tools whose writes stay as previews until a human turn confirms them.

Enables agents to full-text search internal markdown documents and list or create items on a Monday.com-style board, with write calls gated behind a preview-and-single-use-token flow, tool allowlists, and an audit log of every call. It also ships ready-made Gemini and Claude command-line agents that call these tools with human approval before any change.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Enables GitHub Copilot Agent Mode to act as a QA assistant by providing MCP tools to query and modify Bugzilla bugs, Jira issues, and Confluence pages through natural language.

Exposes task management (add, list, complete tasks) and document search (RAG) as MCP tools for AI agents.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

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 teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

Enables multiple AI agents and humans working in the same project to share status, exchange messages, and claim files through a local collaboration board. It supports project-specific enablement, conflict-aware file claims, and shared state via SQLite.

Enables agents and teams to manage versioned delivery work items, role-tagged handoffs, revision- and source-bound evidence, QA gate evaluation, and release-owner attestations through MCP tools.

Exposes 105 MCP tools that let Claude and ChatGPT read and analyse a Mizito workspace's chats, projects, tasks, calendar, letters, minutes, surveys, notes and files (including PDF, Word, Excel and image content). Write, CRM and admin tools can optionally be enabled so the assistant can also send messages and letters, create and repeat tasks, manage kanban boards, and handle customer records.

Enables deterministic GitHub issue and pull request delivery workflows, including issue creation, development, verification, PR publication, review, and merge, with strict configuration and admission controls.

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

Enables AI assistants to search internal knowledge bases, create Confluence articles, file Jira tickets, and look up Okta users, with guardrails and streaming support.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.