Gutendex MCP Server for Pydantic AI 3 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gutendex through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Gutendex "
"(3 tools)."
),
)
result = await agent.run(
"What tools are available in Gutendex?"
)
print(result.data)
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.
Pydantic AI validates every Gutendex tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Gutendex MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Gutendex MCP Server
Pydantic AI provides unique advantages when paired with Gutendex through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gutendex integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Gutendex connection logic from agent behavior for testable, maintainable code
Gutendex + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Gutendex MCP Server delivers measurable value.
Type-safe data pipelines: query Gutendex with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Gutendex tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Gutendex and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Gutendex responses and write comprehensive agent tests
Gutendex MCP Tools for Pydantic AI (3)
These 3 tools become available when you connect Gutendex to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Gutendex to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGutendex + Pydantic AI FAQ
Common questions about integrating Gutendex MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.