by taazkareem · MCP Server · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker run -d -p 3231:3231 ghcr.io/taazkareem/clickup-mcp-server:latestTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 53 |
| Forks | 7 |
| Language | Dockerfile |
| Category | MCP Server |
| Quality Score | 59/100 |
| Last Updated | 2026-11-01 |
| Created | 2025-12-24 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~28k |
ClickUp MCP Server — Premium Properly Connect ClickUp to AI Agents and Agentic Workflows A high-performance Model Context Protocol (MCP) server for managing tasks, checklists, sprints, comments, tags, spaces, lists, folders, files, docs, chat, and time using natural language. ⭐️ Proven Performance: 460+ Stars (from previous public repo) & thousands of weekly NPM downloads.
Looking for a clickup-mcp-server alternative? If you're comparing clickup-mcp-server with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
📜 An MCP server for conversation history search and retrieval in Claude Code
Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
ClickUp CLI for AI agents
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, se
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency g
The Universal AI-Optimized Project Boilerplate. A Tiered Memory System (TMS) designed to maximize AI agent per
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: