Goodreads MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Goodreads as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
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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="goodreads_agent",
instruction=(
"You help users interact with Goodreads "
"using 8 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 Goodreads MCP Server
Empower your AI agent to orchestrate your reading life and book research with Goodreads, the world's premier platform for readers and bibliophiles. By connecting Goodreads to your agent, you transform complex book searching, author research, and community review auditing into a natural conversation. Your agent can instantly retrieve detailed book metadata including titles and descriptions, access comprehensive author bibliographies, and audit user reviews and ratings without you ever needing to navigate the legacy Goodreads interface. Whether you are conducting literary research or coordinating your next personal read, your agent acts as a real-time librarian, providing accurate results from a single, authorized source.
Google ADK natively supports Goodreads as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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 Orchestration — Search the massive Goodreads library and retrieve detailed metadata for any title.
- Author Research — Access full biographies and comprehensive bibliographies for millions of authors.
- Review Auditing — Retrieve and audit user reviews and community ratings to gauge book sentiment.
- Series Discovery — Explore book series and their members to maintain chronological reading order.
- User Insights — Access public user profiles and bookshelves to discover reading trends and collections.
The Goodreads MCP Server exposes 8 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 Goodreads to Google ADK via MCP
Follow these steps to integrate the Goodreads 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 8 tools from Goodreads via MCP
Why Use Google ADK with the Goodreads MCP Server
Google ADK provides unique advantages when paired with Goodreads 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 Goodreads
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 Goodreads tools with BigQuery, Vertex AI, and Cloud Functions
Goodreads + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Goodreads MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Goodreads and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Goodreads tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Goodreads regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Goodreads
Goodreads MCP Tools for Google ADK (8)
These 8 tools become available when you connect Goodreads to Google ADK via MCP:
get_author_profile
Get author details
get_book_info
Get book metadata
get_series_metadata
Get book series info
get_user_public_profile
Get user profile data
get_user_reviews
Get reviews for user
get_user_shelves_list
List user book shelves
list_author_books
List books by author
search_books
Search for books
Example Prompts for Goodreads in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Goodreads immediately.
"Search for books by author 'Stephen King' and show me the list."
"Get the metadata and reviews summary for the book with ID '136251'."
"List all books in the 'Mistborn' series."
Troubleshooting Goodreads MCP Server with Google ADK
Common issues when connecting Goodreads to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkGoodreads + Google ADK FAQ
Common questions about integrating Goodreads 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?
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Connect Goodreads to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.