# mcp-zip

> mcp-zip — nanodaniel69-mcp-zip. Use this tool when you need to efficiently manage and retrieve AI agent memories, compressing context into compact markdown files with FTS5 search capabilities. It solves the problem of token waste and slow information retrieval, enabling fast access to relevant data. Ideal for use cases where token efficiency and speedy memory recall are crucial, such as in chatbots or language models.

Canonical page: https://skillsregistry.net/skills/nanodaniel69-mcp-zip  
JSON: https://api.skillsregistry.net/v1/skills/nanodaniel69-mcp-zip

## Description

Compresses context for AI agents by storing memories in compact markdown files with FTS5 search, enabling fast retrieval of relevant information while saving tokens.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b1rveg8dgf)
- **Repository:** <https://github.com/nanodaniel69/mcp-zip>

## 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": "nanodaniel69-mcp-zip"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nanodaniel69-mcp-zip` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nanodaniel69-mcp-zip/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