# MCPJungle

> MCPJungle — mcpjungle-mcpjungle. Use this tool when you need to integrate AI agents with a self-hosted gateway, providing a centralized interface for managing and deploying AI models. MCPJungle solves problems related to AI model deployment and version control, allowing for seamless git integration and management. It accepts AI model inputs and outputs deployment configurations, ideal for use cases requiring secure and scalable AI model hosting.

Canonical page: https://skillsregistry.net/skills/mcpjungle-mcpjungle  
JSON: https://api.skillsregistry.net/v1/skills/mcpjungle-mcpjungle

## Description

One place to manage & connect to all your MCP servers

## Trust

- **Trust score (0–1):** 0.26
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mcpjungle/MCPJungle)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mcpjungle-mcpjungle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcpjungle-mcpjungle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcpjungle-mcpjungle/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt