# ai.cueapi/mcp

> Use this tool when you need to manage and schedule agent tasks, and report outcomes in a standardized format. It solves problems related to workflow automation and outcome tracking by providing a unified interface for scheduling and reporting. The ai.cueapi/mcp tool accepts task schedules and outcome data as inputs and outputs standardized reports via CueAPI from any MCP host.

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

## Description

Schedule agent work and report write-once outcomes via CueAPI from any MCP host.

## Trust

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

## Facts

- **Version:** 0.1.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.cueapi%2Fmcp)
- **Repository:** <https://github.com/cueapi/cueapi-mcp>

## 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": "ai-cueapi-mcp"
    }
  }
}
```

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