Activeduaraghav8/MCPJungle
One place to manage & connect to all your MCP servers
Quick Answer
- 1. duaraghav8/MCPJungle gives AI agents ai & ml capabilities with 1,138 GitHub stars and a quality score of 89/99.
- 2. Install: Run
npx -y MCPJungleor add the config to your MCP client. - 3. Runtime: npm — no authentication required.
- 4. Health: Actively maintained — last checked 7/6/2026.
Overview
Category: AI & ML
Runtime: npm
Install: npx -y MCPJungle
Auth: No auth required
Source: community
Stars: 1,138
Setup time: ~30 sec
What You Can Build
With the duaraghav8/MCPJungle MCP server, your AI assistant can:
- Access ai & ml functionality through natural language
- Use the server immediately with no API key setup
- Combine with other MCP servers for cross-tool automation workflows
- Run with npm for reliable, consistent deployments
Health Status
ActiveLast commit: 7/6/2026
Checked: 7/6/2026
Page updated: June 13, 2026
One-Click Install
Copy the snippet for your MCP client and paste it in.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"ungle": {
"command": "npx",
"args": [
"-y",
"MCPJungle"
],
"env": {}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"ungle": {
"command": "npx -y MCPJungle"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"ungle": {
"command": "npx -y MCPJungle"
}
}
}MCP Server Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"ungle": {
"command": "npx",
"args": ["-y","MCPJungle"],
"env": {}
}
}
}Topics
Quality Score
Automated quality ranking of maintaining source repository.
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