"A query about tasks" matching MCP servers:

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Enables AI assistants to manage task lists, tasks, subtasks, due dates, notes, and completion through the Google Tasks API, including reversible completion and syncing changes.

MCP server for managing tasks with a resource to read all tasks, a tool to add tasks, and a prompt to analyze tasks, using stdio transport.

Enables persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.

A tasks and projects board MCP server for agents, providing create, list, and status update tools with agent-scoped access via control-plane proxy.

Enables AI assistants to extract and query Obsidian Tasks from markdown files, supporting task metadata and advanced filtering via Obsidian Tasks query syntax.

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

A Model Context Protocol server that enables AI assistants to manage Google Tasks, including creating, updating, deleting, and searching tasks and task lists via OAuth2 authentication.

Enables AI assistants to manage Google Tasks, including listing, creating, updating, deleting, and completing tasks via the Google Tasks API.

A small Model Context Protocol server that exposes a personal task tracker to any MCP-compatible client. Tasks live in a local SQLite database; no cloud, no surprises.

Enables AI-assisted task management by extracting and querying Obsidian Tasks from markdown files, with support for status mapping, date filters, and Obsidian Tasks query syntax.

Provides MCP access to an internal performance and consulting project collaboration system, enabling management of projects, stages, tasks, materials, evidence, approvals, and experience in a traceable chain, with Feishu for organization sync and collaboration.

Google Tasks MCP Server is a local MCP server that provides AI agents with full, granular access to the Google Tasks API.

Enables a weekly review of Todoist tasks by listing overdue tasks with key signals (days overdue, priority, times postponed) and letting Claude propose fixes per task, which you approve or veto in chat before any changes are applied.

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.

amoCRM / Kommo CRM for AI agents: leads, contacts, tasks and notes, plus sales analytics - pipeline report with win rate and manager leaderboard, stale deals and overdue tasks.

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.

Wraps UOF (U-Office Force) SOAP/ASMX WebServices as MCP tools, enabling AI agents to perform enterprise workflow tasks like form query, application, approval, and case closure via Model Context Protocol.

Enables MCP-compatible clients to manage Nextcloud Tasks via CalDAV, offering tools to list, create, update, complete, move, and organize tasks, subtasks, and tags with safe concurrency and date handling.

Session-based development workflow MCP server for Claude Code that structures tasks into sessions with plans, progress tracking, and archiving for context resumption.