MCPJungle: One place to manage & connect to all your MCP servers

by mcpjungle · MCP Server · ★ 1.6k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install MCPJungle

brew install mcpjungle/mcpjungle/mcpjungle
docker pull ghcr.io/mcpjungle/mcpjungle

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

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. Full audit →

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.

ai-agentsinfrastructuremcpmcp-gatewaymcp-registrymcp-servermodel-context-protocolself-hosted

Quick Facts

Stars1,555
Forks196
LanguageGo
CategoryMCP Server
LicenseMPL-2.0
Quality Score73/100
Open Issues117
Last Updated2026-11-03
Created2025-05-15
Platformsgo, mcp
Est. Tokens~24k

About MCPJungle

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.

Compatible Skills

These tools work well together with MCPJungle for enhanced workflows:

  • bifrost — semantic(0.31)+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • GoGogot — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

MCPJungle alternative? Top 6 similar tools

Looking for a MCPJungle alternative? If you're comparing MCPJungle 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.

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How this security grade is produced

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:

View on GitHub → Browse MCP Server tools