"Guidance on using ClickUp for task and project management" matching MCP servers:

Lightweight ClickUp MCP server for task management with 37 tools and token-optimized responses to reduce API verbosity.

MCP server for ClickUp task management, enabling task search, creation, update, deletion, workspace info retrieval, and comment management via ClickUp API v2.

A comprehensive MCP server for the ClickUp API exposing 166 tools to manage Spaces, Folders, Lists, Tasks, Docs, and more, enabling LLMs to read and drive a ClickUp Workspace.

A token optimised ClickUp CLI with built in MCP server that provides an efficient way to get data from ClickUp without consuming large amounts of LLM context

Enables interaction with ClickUp workspaces, spaces, folders, lists, tasks, and comments via MCP tools.

Enables natural language management of ClickUp workspaces, including task CRUD operations, task listing, and user profile retrieval via Claude Desktop.

Local MCP server for essential ClickUp workflows over stdio, exposing a bounded set of tools for search, task management, comments, tags, and workspace hierarchy.

A Model Context Protocol (MCP) server exposing the full ClickUp REST API v2 as MCP tools, enabling natural language management of ClickUp workspaces, spaces, folders, lists, tasks, custom fields, comments, goals, views, webhooks, and time tracking via any MCP-compatible client like Claude Desktop or Cursor.

MCP Server for the ClickUp API,

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

An MCP server for interacting with ClickUp via its REST API, providing tools to manage tasks, search work, and explore workspace structure.

A cross-AI-agent local task context sharing MCP server that allows clients like Codex, Claude Code, Hermes, and VS Code to read and write the same task state, enabling task tracking and context distillation.

Enables Claude to interact with System Task projects, teams, and tasks, providing daily briefs, project reports, team load, and risk identification, as well as creating and updating tasks and demands.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

A local-first Model Context Protocol server that provides LLM agents with structured access to e-commerce data (products, inventory, orders, sales analytics) using a realistic mock dataset, zero configuration, and a swappable DataProvider interface for live APIs.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

Enables AI agents to manage ClickUp tasks, spaces, lists, and folders through natural language, supporting CRUD operations and workspace navigation.

Enables Claude Code and Claude Desktop to manage ClickUp tasks, sprints, reports, workspace navigation, and docs through 25+ MCP tools.

Enables comprehensive task management with groups, custom statuses, and task relationships, designed for AI assistants to manage tasks during conversations.