books-mcp-server

books-mcp-server

A server implementation supporting Model Context Protocol integration with cherry-studio.

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books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

Key Features

MCP compliant server implementation
Integration with cherry-studio via STDIO
CLI-based server management with uv
Cross-platform Python environment setup
Support for custom registry and description parameters
Easy configuration using JSON-style parameters
Dependencies including httpx, openai, beautifulsoup4, lxml
Flexible server directory targeting
Simple install and activation instructions
Supports use with different package sources

Use Cases

Integrating AI model servers into cherry-studio workflows
Managing model context for advanced AI applications
Deploying MCP servers on local or remote environments
Customizing server execution with user-defined parameters
Facilitating structured communication with AI models
Testing MCP features in a development environment
Learning MCP server setup for educational purposes
Streamlining context exchange for AI-powered tools
Running AI model servers behind alternative Python mirrors
Enhancing collaborative AI development with unified protocols

README

Get the Project and Initialize

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

Install Python Packages

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

Example of Using cherry-studio

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.

Type

STDIO

Command

uv

Parameters

--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"
      ]
    }
  }
}

Star History

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Repository Owner

VmLia
VmLia

User

Repository Details

Language Python
Default Branch main
Size 14 KB
Contributors 1
MCP Verified Nov 11, 2025

Programming Languages

Python
100%

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