Project Gutenberg MCP Server for Google ADK 3 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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],
)
* 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.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
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.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Project Gutenberg
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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.
Enterprise data agents: ADK agents query Project Gutenberg and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Project Gutenberg tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Project Gutenberg regularly and flag policy violations or configuration drift
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:
get_book_details
Get details for a specific Gutenberg book
search_author
Search for books by author
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.
"Find the book 'Pride and Prejudice' on Project Gutenberg."
"List all available works by 'Mark Twain'."
"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.
McpToolset not found
pip install --upgrade google-adkProject Gutenberg + Google ADK FAQ
Common questions about integrating Project Gutenberg MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Project Gutenberg 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 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.
