Massive MCP Server for Google ADKGive Google ADK instant access to 1 tools to List Dividends

Name: Massive
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Massive MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

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Gemini

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VS Code

JetBrains

Vercel

+ other MCP clients

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="massive_agent",
    instruction=(
        "You help users interact with Massive "
        "using 1 available tools."
    ),
    tools=[mcp_tools],
)

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 Massive MCP Server

Connect to Massive to retrieve comprehensive historical dividend data for thousands of tickers. Empower your AI agent to perform deep financial analysis and equity research through natural conversation.

Google ADK natively supports Massive as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 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

Historical Dividends — Fetch full records of cash distributions for any supported stock ticker from the Massive API.
Granular Filtering — Filter results by ex-dividend date, frequency (annual, quarterly), or specific distribution types.
Distribution Types — Identify recurring, special, supplemental, or irregular dividends to understand company payout patterns.
Data Analysis — Sort and limit results (up to 5000 records) to build precise financial models or investment reports.

The Massive MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Massive tools available for Google ADK

When Google ADK connects to Massive through Vinkius, your AI agent gets direct access to every tool listed below — spanning dividends, stock-market, financial-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

list

List dividends on Massive

Retrieve historical cash dividends for a ticker

Connect Massive to Google ADK via MCP

Follow these steps to wire Massive into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 1 tools from Massive via MCP

Why Use Google ADK with the Massive MCP Server

Google ADK provides unique advantages when paired with Massive 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 Massive

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 Massive tools with BigQuery, Vertex AI, and Cloud Functions

Massive + Google ADK Use Cases

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

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

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

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

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

Example Prompts for Massive in Google ADK

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

"List historical dividends for ticker 'AAPL'."

"Show me special dividends for 'MSFT' sorted by date."

"Find all dividends for 'KO' with a frequency of 4."

Troubleshooting Massive MCP Server with Google ADK

Common issues when connecting Massive to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Massive + Google ADK FAQ

Common questions about integrating Massive MCP Server with Google ADK.

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.

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.

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.