# @dropdat/mcp

> Use this tool when you need to manage and retrieve data capsules in a user's library, enabling efficient searching, retrieval, and saving of capsules. It solves problems related to data organization and access, providing a seamless interface for AI clients to interact with the dropdat library. With input capabilities for searching and retrieving capsules, and output capabilities for saving and returning capsule data, it streamlines data management workflows.

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

## Description

Enables AI clients to search, retrieve, and save capsules in the user's dropdat library.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tdiutbjcik)
- **Repository:** <https://github.com/dropdat/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": "dropdat-mcp"
    }
  }
}
```

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