# anju

> Use this tool when you need to create fast and scalable MCP servers without requiring extensive coding knowledge. Anju.ai solves the problem of complex server setup and management, providing a no-code solution for streamlined deployment. It integrates with Git, allowing for seamless version control and collaboration, making it ideal for developers and teams looking to efficiently manage their MCP servers.

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

## Description

Anju.ai is a no-code tool for creating fast and scalable MCP servers.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [GitHub](https://github.com/MontoyaAndres/anju)

## 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": "montoyaandres-anju"
    }
  }
}
```

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

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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