# agentor

> agentor — celestoai-agentor. Use this tool when you need to rapidly build and deploy reliable AI agents, MCP tools, and agent-to-agent interactions in a production-ready serverless environment. It solves problems of slow deployment and unreliable AI agent performance, supporting use cases such as automated workflows and scalable AI solutions. With Git integration, it accepts code repositories as input and outputs deployed AI agents, ideal for use in environments requiring fast and efficient AI deployment.

Canonical page: https://skillsregistry.net/skills/celestoai-agentor  
JSON: https://api.skillsregistry.net/v1/skills/celestoai-agentor

## Description

Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and  agent-to-agent.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/CelestoAI/agentor)

## 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": "celestoai-agentor"
    }
  }
}
```

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