No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by taazkareem · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clickup-mcp-server safe to install? View the security audit →
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. The industry-standard ClickUp integration
| Stars | 50 |
| Forks | 4 |
| Language | Dockerfile |
| Category | MCP Server |
| Quality Score | 58.5341023158781/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-10 |
| Created | 2025-12-24 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~28k |
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clickup-mcp-server is ClickUp MCP Server - Integrate ClickUp project management with AI through Model Context Protocol. It is categorized as a MCP Server with 50 GitHub stars.
clickup-mcp-server is primarily written in Dockerfile. It covers topics such as ai, artificial-intelligence, claude-code.
You can find installation instructions and usage details in the clickup-mcp-server GitHub repository at github.com/taazkareem/clickup-mcp-server. The project has 50 stars and 4 forks, indicating an active community.
The top alternatives to clickup-mcp-server on Agent Skills Hub include task-orchestrator, claude-historian-mcp, mcp-server-atlassian-jira. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: