# ledric

> Use this tool when you need to manage and generate content models using AI agents, enabling them to read, write, and publish content through a standardized MCP interface. Ledric solves problems related to content creation, management, and distribution, providing tools like describe_model, create_type, draft, and publish. It is ideal for use cases where automated content generation and management are required, accepting inputs like model descriptions and outputting published content.

Canonical page: https://skillsregistry.net/skills/getledric-ledric  
JSON: https://api.skillsregistry.net/v1/skills/getledric-ledric

## Description

A self-hosted content engine with an MCP interface that enables AI agents to read, write, and manage content models through tools like describe_model, create_type, draft, and publish.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dy9n9wsrxq)
- **Repository:** <https://github.com/getledric/ledric>

## 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": "getledric-ledric"
    }
  }
}
```

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