# openRundown

> Use this tool when you need to provide AI agents with persistent memory and access to external knowledge sources. The openRundown MCP server integrates briefings from GitHub, Discord, and past sessions, solving problems related to information retention and context switching. It accepts inputs from various sources and outputs a unified knowledge base, making it ideal for use cases requiring continuous learning and knowledge accumulation.

Canonical page: https://skillsregistry.net/skills/paola3stefania-openrundown  
JSON: https://api.skillsregistry.net/v1/skills/paola3stefania-openrundown

## Description

MCP server that gives AI agents persistent memory -- briefings from GitHub, Discord, and past sessions

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/Paola3stefania/openRundown)

## 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": "paola3stefania-openrundown"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paola3stefania-openrundown` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paola3stefania-openrundown/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