# @socheli/mcp

> Use this tool when you need to manage Socheli content across multiple platforms, devices, and schedules. It enables agents to list, generate, dispatch, publish, and curate content via natural language, solving problems of content distribution and planning. The tool accepts natural language inputs and outputs managed content across various platforms and device fleets.

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

## Description

Enables MCP-enabled agents to manage Socheli content: list, inspect, generate renders, dispatch to device fleet, publish across platforms, and curate the dated content plan via natural language.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jqpib504m5)
- **Repository:** <https://github.com/Socheli/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": "socheli-mcp"
    }
  }
}
```

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