
Apple Books MCP Server
The Apple Books MCP Server connects AI assistants with the Apple Books ecosystem, exposing books, collections, annotations, and highlights as structured resourc...
Connect your AI to e-books with Ebook-MCP, enabling smart library management, conversational reading, and active learning support for EPUB and PDF files.
Ebook-MCP is a Model Context Protocol (MCP) server designed for processing electronic books, supporting mainstream formats such as EPUB and PDF. It acts as a bridge between AI assistants and e-book content, enabling seamless integration of reading and learning experiences into LLM-powered applications and workflows. Ebook-MCP allows users to interact with their digital library using natural language, facilitating tasks like library management, interactive reading, and content navigation. By exposing standardized APIs, it empowers developers to build tools that enable database-like queries, conversational reading, and active learning support directly from e-books, thus enhancing productivity and the overall user experience with digital reading materials.
No explicit prompt templates are listed in the available documentation or code.
No explicit list of tools (e.g., functions or actions exposed as MCP tools) is described in README or visible documentation. The repository likely contains tools for file listing, content extraction, and querying, but these are not named individually in the available materials.
windsurf.config.json
).mcpServers
section using the following sample configuration:{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"args": []
}
}
}
Securing API Keys:
{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"env": {
"API_KEY": "${EBOOK_MCP_API_KEY}"
},
"inputs": {
"apiKey": "${EBOOK_MCP_API_KEY}"
}
}
}
}
Replace
${EBOOK_MCP_API_KEY}
with your actual key and store it securely.
mcpServers
object.{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"args": []
}
}
}
Securing API Keys:
{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"env": {
"API_KEY": "${EBOOK_MCP_API_KEY}"
},
"inputs": {
"apiKey": "${EBOOK_MCP_API_KEY}"
}
}
}
}
{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"args": []
}
}
}
Securing API Keys:
{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"env": {
"API_KEY": "${EBOOK_MCP_API_KEY}"
},
"inputs": {
"apiKey": "${EBOOK_MCP_API_KEY}"
}
}
}
}
{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"args": []
}
}
}
Securing API Keys:
{
"mcpServers": {
"ebook-mcp": {
"command": "ebook-mcp",
"env": {
"API_KEY": "${EBOOK_MCP_API_KEY}"
},
"inputs": {
"apiKey": "${EBOOK_MCP_API_KEY}"
}
}
}
}
Always use environment variables to protect sensitive API keys.
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"ebook-mcp": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “ebook-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | Clear description of e-book/LLM integration. |
List of Prompts | ⛔ | No explicit prompt templates listed. |
List of Resources | ✅ | EPUB, PDF, metadata, and library folder resources mentioned. |
List of Tools | ⛔ | No explicit tool listing; described in general terms only. |
Securing API Keys | ✅ | Recommended in all setup sections. |
Sampling Support (less important in evaluation) | ⛔ | No mention of sampling in the available documentation. |
Based on the available documentation and code structure, Ebook-MCP offers solid resource and setup documentation, but lacks explicit prompt and tool listings, and there is no mention of Roots or Sampling support. It is well-documented for integration and practical use, but more technical details would improve completeness.
Has a LICENSE | ✅ (Apache-2.0) |
---|---|
Has at least one tool | ⛔ (Not explicit) |
Number of Forks | 6 |
Number of Stars | 31 |
Our opinion:
Ebook-MCP is a well-conceived MCP server focused on e-book integration with LLMs, providing clear value for developers and users interested in AI-powered reading workflows. However, the absence of detailed technical documentation about tools, prompts, Roots, and Sampling means it is best suited for straightforward e-book integration use cases at present.
Ebook-MCP rating: 6/10
Solid for practical use, but lacking some technical specifics and advanced MCP features.
Ebook-MCP is a Model Context Protocol server designed to connect AI assistants and LLMs directly to e-book content, supporting EPUB and PDF formats for smart reading, querying, and library management.
Ebook-MCP supports EPUB files, PDF files, e-book metadata, and library folder resources, enabling flexible access, search, and organization of your digital library.
It enables interactive reading, chapter summarization, content navigation, question answering, and even quiz generation—all via natural language, streamlining active learning and research inside AI workflows.
Yes, it supports secure API key management via environment variables in all supported platforms, protecting your sensitive credentials and access tokens.
While developer integration is straightforward, FlowHunt’s UI lets you add Ebook-MCP to workflows with minimal code—just configure and connect your MCP server details.
Smart library management, interactive reading, active learning support, and seamless integration with AI-powered development tools for research and productivity.
Integrate Ebook-MCP into your FlowHunt workflows and unlock natural language access to your digital library. Enhance productivity and learning with AI-powered reading experiences.
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