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 taskade · MCP Server · ★ 164
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp safe to install? View the security audit →
Taskade MCP Server Connect Taskade to any AI assistant — Claude, Cursor, Windsurf, n8n, and more — via the Model Context Protocol. 50+ tools for workspaces, projects, tasks, AI agents, knowledge bases, templates, automations, media, and sharing — all from your AI client. MCP Server — Connect Taskade to Claude Desktop, Cursor, Windsurf, or any MCP client. OpenAPI Codegen — Generate MCP tools from any OpenAPI spec — not just Taskade. Demo MCP-powered Taskade agent running inside Claude Desktop by Anthropic: | <img src="https://raw.githubusercontent.com/taskade/taskade/main/media/agents/agent-generator.gif" widt
| Stars | 164 |
| Forks | 50 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.727447059102/100 |
| Open Issues | 13 |
| Last Updated | 2026-09-20 |
| Created | 2025-05-26 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~17k |
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mcp is 🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and connect to Claude, Cursor, and more.. It is categorized as a MCP Server with 164 GitHub stars.
mcp is primarily written in TypeScript. It covers topics such as ai, ai-agent, ai-agents.
You can find installation instructions and usage details in the mcp GitHub repository at github.com/taskade/mcp. The project has 164 stars and 50 forks, indicating an active community.
mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp on Agent Skills Hub include claude-emporium, context-space, jadx-mcp-server. 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: