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

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

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({
        "gutendex": {
            "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 Gutendex, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
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About Gutendex MCP Server

Connect to Gutendex and explore the world's largest collection of free public domain ebooks through natural conversation — no API key needed.

LangChain's ecosystem of 500+ components combines seamlessly with Gutendex 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 — Search 70,000+ ebooks by title, author, subject or language
  • Book Details — Get complete info including authors, subjects, download formats (HTML, EPUB, Kindle, PDF) and download counts
  • Language Filter — Filter books by language (English, Portuguese, French, Spanish, German, etc.)
  • Author Filter — Filter by author birth/death year ranges
  • Copyright Filter — Filter by public domain or in-copyright status
  • Format Filter — Filter by available formats (PDF, EPUB, HTML, plain text, audiobook)
  • Direct Access — Look up books directly by Gutenberg URL or ID

The Gutendex 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 Gutendex to LangChain via MCP

Follow these steps to integrate the Gutendex MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 3 tools from Gutendex via MCP

Why Use LangChain with the Gutendex MCP Server

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

01

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

02

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

03

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

04

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

Gutendex + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Gutendex MCP Tools for LangChain (3)

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

01

get_book

Returns the title, authors (with birth/death years), subjects, bookshelves, languages, summary, download counts and all available formats/URLs (HTML, EPUB, Kindle, PDF, plain text). Common IDs: 1342 (Pride and Prejudice), 84 (Frankenstein), 4300 (Ulysses), 2701 (Moby Dick), 1727 (Romeo and Juliet). Get detailed info for a specific Gutenberg book

02

get_books_by_url

org URL and returns the book details. Accepts URLs like "https://www.gutenberg.org/ebooks/1342" or "https://www.gutenberg.org/files/1342/". Get book info from a Gutenberg URL

03

list_books

Supports powerful filters: search by title/author, topic/subject, language (ISO 2-letter codes like "en", "fr", "pt"), copyright status, MIME type (e.g. "application/pdf" for PDFs), author birth/death year ranges, and specific Gutenberg IDs. Results sorted by popularity (download count) by default. Returns book titles, authors, subjects, languages, download URLs and download counts. Supports pagination. Search Project Gutenberg ebooks via Gutendex

Example Prompts for Gutendex in LangChain

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

01

"Find Pride and Prejudice by Jane Austen."

02

"Search for science fiction books in Portuguese."

03

"Show me Frankenstein by Mary Shelley."

Troubleshooting Gutendex MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Gutendex + LangChain FAQ

Common questions about integrating Gutendex MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Gutendex to LangChain

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.