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 mcpjungle · MCP Server · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MCPJungle safe to install? View the security audit →
MCPJungle Run all your MCP servers behind one endpoint MCPJungle is a self-hosted MCP gateway for developers and teams who want to manage multiple MCP servers without scattered client configurations, duplicated setup, or inconsistent access control. Use it locally to keep your personal MCP setup clean, or run it as shared infrastructure for a team with centralized discovery, access control, and observability. Instead of wiring every MCP server into every AI client, register your servers once in MCPJungle and let Claude, Cursor, Codex, or your own Agents connect to a single MCP endpoint. ##
| Stars | 1,209 |
| Forks | 152 |
| Language | Go |
| Category | MCP Server |
| License | MPL-2.0 |
| Quality Score | 73.2809089884873/100 |
| Open Issues | 94 |
| Last Updated | 2026-08-02 |
| Created | 2025-05-15 |
| Platforms | go, mcp |
| Est. Tokens | ~24k |
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MCPJungle is One place to manage & connect to all your MCP servers. It is categorized as a MCP Server with 1.2k GitHub stars.
MCPJungle is primarily written in Go. It covers topics such as ai-agents, infrastructure, mcp.
You can find installation instructions and usage details in the MCPJungle GitHub repository at github.com/mcpjungle/MCPJungle. The project has 1.2k stars and 152 forks, indicating an active community.
MCPJungle is released under the MPL-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to MCPJungle on Agent Skills Hub include anythingmcp, metamcp, linkedin-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: