Massive MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to List Dividends
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Massive through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Massive MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Massive Assistant",
instructions=(
"You help users interact with Massive. "
"You have access to 1 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Massive"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 1 tools from Massive through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Massive, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 dividends on Massive
Retrieve historical cash dividends for a ticker
Connect Massive to OpenAI Agents SDK via MCP
Follow these steps to wire Massive into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Massive MCP Server
OpenAI Agents SDK provides unique advantages when paired with Massive through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Massive + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Massive MCP Server delivers measurable value.
Automated workflows: build agents that query Massive, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Massive, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Massive tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Massive to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Massive in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Massive to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Massive + OpenAI Agents SDK FAQ
Common questions about integrating Massive MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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