Gutendex MCP Server for AutoGen 3 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Gutendex as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="gutendex_agent",
tools=tools,
system_message=(
"You help users with Gutendex. "
"3 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Gutendex tools. Connect 3 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Gutendex MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 3 tools from Gutendex automatically
Why Use AutoGen with the Gutendex MCP Server
AutoGen provides unique advantages when paired with Gutendex through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Gutendex tools to solve complex tasks
Role-based architecture lets you assign Gutendex tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Gutendex tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Gutendex tool responses in an isolated environment
Gutendex + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Gutendex MCP Server delivers measurable value.
Collaborative analysis: one agent queries Gutendex while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Gutendex, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Gutendex data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Gutendex responses in a sandboxed execution environment
Gutendex MCP Tools for AutoGen (3)
These 3 tools become available when you connect Gutendex to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Gutendex to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Gutendex + AutoGen FAQ
Common questions about integrating Gutendex MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Gutendex with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 AutoGen
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.