Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"books-mcp-server": {
"args": [
"--directory",
"/Enter your local project directory/books-mcp-server",
"run",
"main.py"
],
"name": "books-mcp",
"type": "stdio",
"command": "uv",
"isActive": true,
"description": "",
"registryUrl": ""
}
}
}Are you the author?
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git clone https://github.com/VmLia/books-mcp-server.git
cd books-mcp-server
uv venv
if macbook or linux
source .venv/bin/activate
if windows
.venv\Scripts\activate.bat
uv add "mcp[cli]" httpx openai beautifulsoup4 lxml
If the network is slow, you can set up a domestic mirror source.
uv add "mcp[cli]" httpx openai beautifulsoup4 lxml --index-url https://pypi.tuna.tsinghua.edu.cn/simple
Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page.
STDIO
uv
--directory
# your project dir
run
main.py
Method 2: Use the configuration parameters
{
"mcpServers": {
"books-mcp-server": {
"name": "books-mcp",
"type": "stdio",
"description": "",
"isActive": true,
"registryUrl": "",
"command": "uv",
"args": [
"--directory",
"/Enter your local project directory/books-mcp-server",
"run",
"main.py"
]
}
}
}