# WeRead

> Use this tool when you need to integrate AI assistance with e-book content, enabling access to book data, user highlights, and annotations for research, literature analysis, and knowledge management tasks. It provides a seamless interface between Claude Desktop and WeRead's API, with efficient cache management for improved performance. Ideal for workflows requiring AI-driven discussion and reference of book content.

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

## Description

mcp-server-weread is a TypeScript implementation that provides seamless integration between Claude Desktop and WeRead, a popular e-book platform. The server enables AI assistants to access book content, user highlights, and annotations through WeRead's API, with features for efficient cache management to improve performance. This implementation is particularly useful for research workflows, literature analysis, and knowledge management tasks where users need to reference or discuss book content with AI assistance.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/weread)
- **Repository:** <https://github.com/freestylefly/mcp-server-weread>

## 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": "weread"
    }
  }
}
```

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