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 YosefHayim · MCP Server · ★ 158
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ebay-mcp safe to install? View the security audit →
eBay API MCP Server A Model Context Protocol (MCP) server providing AI assistants with comprehensive access to eBay's Sell APIs. Includes 325 tools for inventory management, order fulfillment, marketing campaigns, analytics, developer tools, and more. API Coverage: 100% (270 unique eBay API endpoints) One-Click AI Setup Let your AI assistant set this up for you! Copy the prompt below and paste it into Claude, ChatGPT, or any AI assistant with MCP support. <summa
| Stars | 158 |
| Forks | 67 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.0906937347997/100 |
| Last Updated | 2026-09-19 |
| Created | 2025-11-09 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~20k |
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ebay-mcp is Local MCP server that exposes eBay Sell APIs to AI assistants with OAuth, tool gating, and stdio/HTTP transports.. It is categorized as a MCP Server with 158 GitHub stars.
ebay-mcp is primarily written in TypeScript. It covers topics such as ai-agents, api-wrapper, chatgpt.
You can find installation instructions and usage details in the ebay-mcp GitHub repository at github.com/YosefHayim/ebay-mcp. The project has 158 stars and 67 forks, indicating an active community.
ebay-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ebay-mcp on Agent Skills Hub include notion-mcp-server, claude-emporium, vestige. 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: