# syncly-dataset-mcp

> Use this tool when you need to query large social datasets in JSON or JSONL format, to solve data analysis and visualization challenges in Claude Desktop. It enables efficient querying via MCP tools, utilizing DuckDB as the backend database, and provides a seamless interface for inputs and outputs. Ideal for use cases requiring fast and flexible data exploration and insights generation from social data.

Canonical page: https://skillsregistry.net/skills/rimmade-syncly-dataset-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rimmade-syncly-dataset-mcp

## Description

Enables querying JSON/JSONL social datasets in Claude Desktop via MCP tools, using DuckDB as the backend database.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gzw1c3qt6b)
- **Repository:** <https://github.com/rimmade/syncly-dataset-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": "rimmade-syncly-dataset-mcp"
    }
  }
}
```

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