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Project Gutenberg MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Project Gutenberg through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Project Gutenberg Assistant",
            instructions=(
                "You help users interact with Project Gutenberg. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Project Gutenberg"
        )
        print(result.final_output)

asyncio.run(main())
Project Gutenberg
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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.

The OpenAI Agents SDK auto-discovers all 3 tools from Project Gutenberg through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Project Gutenberg, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Project Gutenberg MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 3 tools from Project Gutenberg

Why Use OpenAI Agents SDK with the Project Gutenberg MCP Server

OpenAI Agents SDK provides unique advantages when paired with Project Gutenberg through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Project Gutenberg + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Project Gutenberg MCP Server delivers measurable value.

01

Automated workflows: build agents that query Project Gutenberg, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Project Gutenberg, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Project Gutenberg tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Project Gutenberg to resolve tickets, look up records, and update statuses without human intervention

Project Gutenberg MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect Project Gutenberg to OpenAI Agents SDK via MCP:

01

get_book_details

Get details for a specific Gutenberg book

02

search_author

Search for books by author

03

search_gutenberg_books

Search for books on Project Gutenberg

Example Prompts for Project Gutenberg in OpenAI Agents SDK

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

01

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

02

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

03

"Search for books about 'Philosophy'."

Troubleshooting Project Gutenberg MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Project Gutenberg + OpenAI Agents SDK FAQ

Common questions about integrating Project Gutenberg MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Project Gutenberg to OpenAI Agents SDK

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