# dev.anotherai/anotherai

> Use this tool when you need to build and test AI agents with multiple models, and require experimentation and insights capabilities. It solves problems related to AI model development, testing, and comparison, providing a server-based interface for inputting models and outputting experimental results and insights. Ideal for use cases involving multi-model AI development, testing, and optimization, where data-driven decision making is crucial.

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

## Description

MCP server for building and testing AI agents with multi-model experimentation and insights.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.anotherai%2Fanotherai)

## Use it

MCP endpoint published by the skill: `https://api.anotherai.dev/mcp`

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": "dev-anotherai-anotherai"
    }
  }
}
```

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