# shelfmark

> shelfmark — dankaro-projects-shelfmark. Use this tool when you need to enable AI agents to discover and search local documents while maintaining data confidentiality and ownership controls. Shelfmark builds a metadata catalogue, allowing agents to select relevant files without accessing their contents, and provides governed access to ensure secure information retrieval. It is ideal for use cases where data privacy and access control are crucial, such as in sensitive research or enterprise environments.

Canonical page: https://skillsregistry.net/skills/dankaro-projects-shelfmark  
JSON: https://api.skillsregistry.net/v1/skills/dankaro-projects-shelfmark

## Description

Shelfmark is an MCP server that builds a local metadata catalogue of your documents, enabling AI agents to discover, search, and select relevant files without opening or indexing their contents. It provides governed access with ownership and confidentiality controls, ensuring agents only see what they are permitted to.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y66wxpf72t)
- **Repository:** <https://github.com/Dankaro-projects/shelfmark>

## 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": "dankaro-projects-shelfmark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dankaro-projects-shelfmark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dankaro-projects-shelfmark/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