# goldie-mcp

> goldie-mcp — srfrog-goldie-mcp. Use this tool when you need to generate text based on relevant information retrieved from a local knowledge base, solving problems like content creation and information summarization. It takes in input queries and outputs generated text, leveraging a Retrieval-Augmented Generation (RAG) approach. Ideal for use cases where local data retrieval and text generation are required, such as content creation and research tasks.

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

## Description

Multi-agent memory MCP server in Go to share typed memories across Claude Code, Codex, and more

## 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:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/srfrog/goldie-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": "srfrog-goldie-mcp"
    }
  }
}
```

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