# COTAL actions (cotal.ai)

> COTAL actions (cotal.ai) — ai-cotal-cotal. Use this tool when you need to streamline interactions with the COTAL platform, as it provides core functionality for searching the site, building logs, and submitting feedback, with inputs including user queries and outputs including relevant search results and update notifications, ideal for use cases requiring efficient communication and information retrieval within the COTAL ecosystem. It solves problems related to information discovery, feedback submission, and staying updated on platform developments. Use it to access various COTAL features, including product overviews and waitlist management, through a unified interface.

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

## Description

cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-08

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.cotal%2Fcotal)
- **Repository:** <https://github.com/Cotal-AI/Cotal>

## Use it

MCP endpoint published by the skill: `https://cotal.ai/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": "ai-cotal-cotal"
    }
  }
}
```

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