Mcp Server Weread
@ChenyqThu
About Mcp Server Weread
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-weread": {
"command": "npx",
"args": [
"-y",
"mcp-server-weread"
],
"env": {
"CC_URL": "https://cc.chenge.ink",
"CC_ID": "您的ID",
"CC_PASSWORD": "您的密码"
}
}
}
}Tools
4Get all books in the user's bookshelf with comprehensive statistics and categorization information
Search for books in the user's bookshelf by keywords and return matching books with details and reading progress
Get all highlights and notes for a specific book, organized by chapter
Get popular reviews for a specific book
Overview
What is Mcp Server Weread?
Mcp Server Weread is an MCP (Model Context Protocol) server that provides bookshelf, notes, and highlights data from WeRead (微信读书) to LLM clients that support MCP, such as Claude Desktop. It is designed for users who want to let an AI assistant interact with their WeRead reading data.
How to use Mcp Server Weread?
Requires Node.js 16+ and a valid WeRead account with Cookie. The simplest way is to add a configuration to Claude Desktop using npx -y mcp-server-weread with environment variables (CookieCloud URL/ID/Password or WEREAD_COOKIE). Global installation via npm install -g mcp-server-weread is also supported.
Key features of Mcp Server Weread
- Retrieve the user’s full bookshelf from WeRead
- Search books in the bookshelf by keyword
- Get notes and highlights organized by chapter
- Fetch popular book reviews with ratings and comments
- Seamless integration with MCP‑compatible LLM clients
- Supports CookieCloud for automatic Cookie refresh
Use cases of Mcp Server Weread
- Ask an AI to list all books on your WeRead bookshelf
- Search for specific books (e.g., psychology titles) within your library
- Have the AI summarize notes and highlights from a book, organized by chapter
- Let the AI retrieve and present popular reviews for a given book
FAQ from Mcp Server Weread
How do I get my WeRead Cookie?
Log into weread.qq.com in Chrome, open Developer Tools (F12), go to the Network tab, refresh, find a request to weread.qq.com, copy the Cookie field from the request headers, and set it as WEREAD_COOKIE.
What is CookieCloud and why is it recommended?
CookieCloud is an open‑source service that automatically syncs and refreshes your WeRead Cookie, avoiding manual updates when the Cookie expires. You can use the default server at https://cc.chenge.ink or host your own.
What are the runtime requirements?
Node.js 16.x or later. No additional database or external services required (CookieCloud server is optional).
Where does my WeRead data live?
The server fetches data directly from WeRead’s APIs on‑the‑fly. No data is stored locally or sent to third parties beyond the LLM client you have configured.
Which MCP transports are supported?
The server uses stdio transport (command‑line invocation). Authentication is handled via environment‑variable Cookie or CookieCloud credentials; no OAuth or token exchange is implemented in the server itself.
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