Gutendex MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gutendex as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Gutendex. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Gutendex?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
LlamaIndex agents combine Gutendex tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Gutendex MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from Gutendex
Why Use LlamaIndex with the Gutendex MCP Server
LlamaIndex provides unique advantages when paired with Gutendex through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gutendex tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gutendex tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gutendex, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gutendex tools were called, what data was returned, and how it influenced the final answer
Gutendex + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gutendex MCP Server delivers measurable value.
Hybrid search: combine Gutendex real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gutendex to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Gutendex for fresh data
Analytical workflows: chain Gutendex queries with LlamaIndex's data connectors to build multi-source analytical reports
Gutendex MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Gutendex to LlamaIndex via MCP:
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
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
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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gutendex immediately.
"Find Pride and Prejudice by Jane Austen."
"Search for science fiction books in Portuguese."
"Show me Frankenstein by Mary Shelley."
Troubleshooting Gutendex MCP Server with LlamaIndex
Common issues when connecting Gutendex to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGutendex + LlamaIndex FAQ
Common questions about integrating Gutendex MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Gutendex with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gutendex to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.