"A tool similar to Cursor with agent-based functionalities" matching MCP servers:

Enables personal productivity management by exposing MCP tools to create, retrieve, list, update, complete, and delete tasks and calendar events, with validation and conflict detection.

An MCP server that audits a project for documentation, rules, skills, and knowledge artifacts, compares against a reference concept catalog, and generates a prescription plan with frontmatter todos to guide creation of missing or incomplete elements.

Provides structured external memory for AI assistants, enabling persistent context, branch notes, tacit knowledge, and checklists to overcome AI memory loss and context confusion.

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 an MCP client to retrieve explicitly allowlisted Markdown context, create and read local task contracts, write local handoffs, and return locally configured routing metadata without invoking a model, executing commands, or writing to the vault.

An AI-native HR Management System that lets users manage employees, leave, meetings, tickets, and email through natural conversation.

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.

An MCP server that integrates Azure DevOps with Cursor IDE, allowing Claude AI to manage projects, work items, repositories, pull requests, and test plans.

An MCP server for managing tasks in Cursor IDE, enabling AI agents to create, update, and comment on tasks via MCP tools, with a kanban dashboard and WebSocket events.

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 AI coding agents to coordinate through a local, pull-only message board by registering sessions, posting updates, proposing and accepting tasks, holding leases, and reading or acknowledging updates under scoped human authorization.

MCP server that connects AI assistants to Instructure Canvas LMS, enabling teachers and administrators to manage courses, assignments, grades, and more through natural language.

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

MCP server that enables AI agents to manage Dida365/TickTick tasks, projects, tags, and habits through natural language, with full CRUD, search, and advanced V2 capabilities.

A secure, TypeScript-based MCP gateway that enables AI agents to interact with Jira through controlled, audited tool calls without exposing credentials.

Enables multiple AI coding agents on different machines to coordinate on a single codebase by atomically claiming tasks, acquiring repo-relative file locks, and exchanging messages through a shared, token-authenticated SQLite-backed board over MCP.

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

Enables AI agents to coordinate open projects by registering, creating and claiming tasks, submitting and reviewing work, electing coordinators, and chatting in a shared lobby.

Attaches a file-based kanban workflow to any project, allowing agents to create, claim, complete, and block work items using git as the locking mechanism.

Enables AI agents to maintain project continuity through a file-based state hub with tasks, phases, and handoff snapshots. Provides MCP tools for reading and updating project state, with gatekeeping enforced via real-state evaluation and per-tool authorization.

Enables any MCP-capable coding agent to share one plain-Markdown project state — goals, tasks, decision logs, and session handoffs — stored in a project's .apm/ directory, with lock-safe concurrent writes and consistency checks that flag stale, blocked, or unowned work. This lets multiple agents and a human CLI resume work across interrupted sessions without a database or external service.

Enables people and their AI agents to share a kanban board whose tasks, hand-offs, reviews, notes and alerts live as markdown files in a private GitHub repo, with per-person access control. Works from Claude, ChatGPT, Claude Code, Codex or any MCP-speaking client, and can draw the board inside chats.

An MCP server enabling AI coding agents to interact with a task tracker that enforces rules server-side, replacing markdown files and hooks with a database, CLI, and web UI.

A task orchestration system for AI agent teams that provides a Kanban dashboard and 12 MCP tools to manage multi-step workflows with DAG dependencies. It enables agents to coordinate through task threads, automated retries, and real-time webhook notifications.

Enables AI coding providers to run structured multi-agent workflows with document drafting, task tracking, handoffs, and health-gated completion.

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

An MCP server that provides shared memory, kanban board, and agent registry for AI agents to collaborate as a team, with a live dashboard for human oversight.

MCP server for Agent Room, enabling AI agents to join shared meeting rooms and collaborate with humans via tools like room_listen and room_task_*.

Enables pipeline-driven task management for AI coding agents, with stage-gated workflows, dependency tracking, artifact versioning, and multi-agent collaboration.

Enables any MCP-capable agent to maintain a shared .apm Markdown source of truth for project goals, tasks, decisions, handoffs, and health insights. It lets multiple agents and CLI/dashboard tools coordinate using the same file-based read/write logic without a database.

Enables AI coding agents on the same machine to exchange local messages, manage and claim tasks, and coordinate folder locks through stdio MCP tools backed by plain files. It runs without a network server or dependencies and supports concurrent agents.

A local MCP server that lets Claude Code, Codex and Gemini agents post messages, mention each other, wait for replies without burning tokens, and share tasks that move from assigned to verified. It pairs with a local desktop window for writing tasks, following every conversation, monitoring agent models and quota, and sending owner-signed instructions.

Connects Claude Code, Codex, Cursor, and other coding agents to a project's idea, feature topology, and ordered task queue over MCP, so they can answer planning jobs, claim, build, and tick off implementation tasks live in your repository, or assemble a shareable PRD.

Enables AI agents to create projects, post rich status updates with images and video, claim tasks, read replies, and gate work behind user approvals over a live browser dashboard.

Enables agents to manage a local SQLite task backlog over stdio, with tools to create, search, list, get, update, and stat tasks while preserving audit history and idempotency.

A Model Context Protocol server that uses Git as a backend for a collaborative todo system, enabling natural language interaction with Claude Desktop/Claude Code. It features a web-based Kanban board and Telegram bot for multi-interface todo management.

A multi-agent task management system for AI applications that enables users to create agents with roles and capabilities, delegate tasks with trust-based routing, coordinate file access to prevent conflicts, and monitor performance through a unified dashboard.

Provides a local, vendor-agnostic control room where coding agents can be assigned tasks, exchange scoped messages, submit claims, and have work reviewed across different models, with a voxel-world interface for inspecting sessions and evidence.

An AI-native kanban board MCP server where agents pull tasks via the Model Context Protocol. It provides tools for task discovery, claiming, progress updates, and review workflows.