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Project Gutenberg MCP Server for Google ADK 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Project Gutenberg as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="project_gutenberg_agent",
    instruction=(
        "You help users interact with Project Gutenberg "
        "using 3 available tools."
    ),
    tools=[mcp_tools],
)
Project Gutenberg
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

Google ADK natively supports Project Gutenberg as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Project Gutenberg MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 3 tools from Project Gutenberg via MCP

Why Use Google ADK with the Project Gutenberg MCP Server

Google ADK provides unique advantages when paired with Project Gutenberg through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Project Gutenberg

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Project Gutenberg tools with BigQuery, Vertex AI, and Cloud Functions

Project Gutenberg + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Project Gutenberg MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Project Gutenberg and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Project Gutenberg tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Project Gutenberg regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Project Gutenberg

Project Gutenberg MCP Tools for Google ADK (3)

These 3 tools become available when you connect Project Gutenberg to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Project Gutenberg to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Project Gutenberg + Google ADK FAQ

Common questions about integrating Project Gutenberg MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Project Gutenberg to Google ADK

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