# examples

> examples — molt2meet-org-examples. Use this tool when you need to integrate AI agents with real-world tasks, such as dispatching actions via MCP, REST, or HTTP tool-call bridge. It solves problems of bridging AI decision-making with physical or external system execution, providing examples for seamless integration. Inputs include AI agent outputs, and outputs are executed tasks, making it ideal for automation and workflow optimization contexts.

Canonical page: https://skillsregistry.net/skills/molt2meet-org-examples  
JSON: https://api.skillsregistry.net/v1/skills/molt2meet-org-examples

## Description

Integration examples for Molt2Meet — dispatch real-world tasks from AI agents via MCP, REST, or HTTP tool-call bridge.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/molt2meet-org/examples)

## 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": "molt2meet-org-examples"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/molt2meet-org-examples` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/molt2meet-org-examples/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