Can I search for books by William Shakespeare?

Yes! Use the `search_author` tool with the name 'Shakespeare'. It will return a list of his famous plays and sonnets available on Project Gutenberg.

How do I find books about a specific subject like 'History'?

Use the `search_books` tool and include the subject in your query. Your agent will search the entire catalog for titles matching that theme.

Can I get the full text of a book directly?

The current server focuses on metadata and discovery. You can retrieve the official Project Gutenberg ID for any book, which can be used to find the full text on their website.

Project Gutenberg MCP Server for LangChain 3 tools — connect in under 2 minutes

Name: Project Gutenberg
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 3 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Project Gutenberg through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "project-gutenberg": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Project Gutenberg, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About Project Gutenberg MCP Server

Equip your AI agent with the largest library of free public domain books through the Project Gutenberg MCP server. This integration provides access to over 60,000 eBooks, allowing your agent to search for classic literature, retrieve detailed metadata for specific titles, and explore works by your favorite authors. Whether you're conducting literary research, looking for historical texts, or simply seeking a new read, your agent acts as a dedicated digital librarian through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Project Gutenberg through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Book Search — Find classic books by title, keyword, or subject across a massive collection.
Author Exploration — List all available works by a specific author registered in the database.
Metadata Retrieval — Fetch IDs, languages, and detailed info for any book in the collection.
Literary Auditing — Summarize multiple classic works to compare themes and historical contexts.

The Project Gutenberg MCP Server exposes 3 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Project Gutenberg to LangChain via MCP

Follow these steps to integrate the Project Gutenberg MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 3 tools from Project Gutenberg via MCP

Why Use LangChain with the Project Gutenberg MCP Server

LangChain provides unique advantages when paired with Project Gutenberg through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Project Gutenberg MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Project Gutenberg queries for multi-turn workflows

Project Gutenberg + LangChain Use Cases

Practical scenarios where LangChain combined with the Project Gutenberg MCP Server delivers measurable value.

RAG with live data: combine Project Gutenberg tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Project Gutenberg, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Project Gutenberg tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Project Gutenberg tool call, measure latency, and optimize your agent's performance

Project Gutenberg MCP Tools for LangChain (3)

These 3 tools become available when you connect Project Gutenberg to LangChain via MCP:

get_book_details

Get details for a specific Gutenberg book

search_author

Search for books by author

search_gutenberg_books

Search for books on Project Gutenberg

Example Prompts for Project Gutenberg in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Project Gutenberg immediately.

"Find the book 'Pride and Prejudice' on Project Gutenberg."

"List all available works by 'Mark Twain'."

"Search for books about 'Philosophy'."

Troubleshooting Project Gutenberg MCP Server with LangChain

Common issues when connecting Project Gutenberg to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Project Gutenberg + LangChain FAQ

Common questions about integrating Project Gutenberg MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.