"How to perform a Google search" 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.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Enables AI agents to read and manage a user's Google Tasks, including creating, editing, completing, moving, and deleting tasks and task lists via the Google Tasks API.

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.

MCP server for the Google Tasks API that enables AI agents to read, create, update, delete, and manage Google Tasks.

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

Comprehensive quest orchestration system with KĀDI broker integration, multi-channel approval workflow, and Git-backed data storage.

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

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

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

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.

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

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.

An MCP server that lets Claude manage Google Tasks, including listing, creating, updating, completing, moving, and deleting tasks and task lists. It supports both local and remote deployments and can be used with Claude Desktop or as a Cloudflare Worker.

A Model Context Protocol (MCP) server for the Atlassian Goals API. Enables AI assistants like Claude to query, search, and update Atlassian Goals and Projects.

Enables managing Google Tasks (list, add, complete, delete, update) using natural language commands in Claude Code through an Apps Script webhook.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.