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Quotable API MCP Server for Google ADK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Quotable API 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="quotable_api_agent",
    instruction=(
        "You help users interact with Quotable API "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)
Quotable API
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* 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 Quotable API MCP Server

Empower your AI agent to orchestrate your entire literary research and quote auditing workflow with the Quotable API, the comprehensive source for inspirational and famous quotes. By connecting Quotable to your agent, you transform complex keyword searches into a natural conversation. Your agent can instantly retrieve random quotes, audit author biographies, and query specific tags without you ever touching a quote portal. Whether you are building social media content or conducting thematic research, your agent acts as a real-time literary consultant, ensuring your data is always verified and precise.

Google ADK natively supports Quotable API as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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

  • Quote Auditing — Retrieve random or specific quotes by keyword and maintain a clear view of content, author, and tag distribution.
  • Author Oversight — Audit comprehensive author profiles, including biographies and descriptions, to understand the source of literary data.
  • Tag Discovery — Browse available quote tags to identify relevant themes such as 'technology', 'wisdom', or 'famous-quotes' instantly.
  • Metadata Intelligence — Retrieve unique author slugs and quote identifiers to assist in deep-dive archival classification.
  • Literary Monitoring — Check API status to ensure your quote research workflow is always operational.

The Quotable API MCP Server exposes 6 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 Quotable API to Google ADK via MCP

Follow these steps to integrate the Quotable API 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 6 tools from Quotable API via MCP

Why Use Google ADK with the Quotable API MCP Server

Google ADK provides unique advantages when paired with Quotable API 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 Quotable API

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 Quotable API tools with BigQuery, Vertex AI, and Cloud Functions

Quotable API + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Quotable API MCP Server delivers measurable value.

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Quotable API 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 Quotable API

Quotable API MCP Tools for Google ADK (6)

These 6 tools become available when you connect Quotable API to Google ADK via MCP:

01

check_api_status

Check if the Quotable API service is operational

02

get_author_details

Get full details and biography for a specific author by slug

03

get_random_quote

Get a random quote with optional tag or author filters

04

list_quote_authors

List all authors in the database with their descriptions

05

list_quote_tags

List all available quote tags and their quote counts

06

search_quotes

Search for quotes by keyword or phrase

Example Prompts for Quotable API in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Quotable API immediately.

01

"Get a random quote about 'wisdom' using Quotable."

02

"Search for quotes by 'Albert Einstein'."

03

"List all available quote tags."

Troubleshooting Quotable API MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Quotable API + Google ADK FAQ

Common questions about integrating Quotable API 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 Quotable API to Google ADK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.