# weread-shelf

> weread-shelf — flybear16-weread-shelf. Use this tool when you need to analyze WeRead book data using SQL queries or integrate it with other data sources for agent-based analysis. It solves problems of data siloing and limited analysis capabilities by syncing WeRead data into DuckDB and providing an MCP server for cross-source joins. The tool takes WeRead book data as input and outputs query results, enabling advanced data analysis and insights in various contexts.

Canonical page: https://skillsregistry.net/skills/flybear16-weread-shelf  
JSON: https://api.skillsregistry.net/v1/skills/flybear16-weread-shelf

## Description

Enables SQL queries on WeRead (微信读书) book data by syncing it into DuckDB, with an MCP server for agent-based analysis and cross-source joins.

## 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:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/krn3sejbwu)
- **Repository:** <https://github.com/flybear16/weread-shelf>

## 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": "flybear16-weread-shelf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flybear16-weread-shelf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flybear16-weread-shelf/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