How to Use the EOD Historical Data MCP in AutoGen

Q: Can AutoGen agents collaborate on EOD Historical Data analysis?

Yes. One agent fetches historical prices using geteodhistorical while another pulls corporate actions via getsplits to adjust the pricing models before they finalize their debate over the MCP connection.

Q: Can I build an automated portfolio manager using AutoGen?

Yes. By combining tools like getcalendardividends and gettechnicalindicators, your agent group monitors dividend schedules and technical setups to suggest portfolio rebalancing.

Let specialized AutoGen agents debate financial trends using live market data and fundamentals.

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Connect EOD Historical Data MCP to AutoGen

Create your Vinkius account to connect EOD Historical Data to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup EOD Historical Data with AutoGen

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Enable multi-agent debate on market trends

The `get_real_time` tool provides instant pricing updates that your AutoGen agents debate in real time. One agent analyzes short-term momentum while another checks macroeconomic indicators to reach a consensus. This multi-agent setup ensures that financial decisions don't happen in a vacuum. The AutoGen agents use hard numbers to challenge each other's market outlooks before presenting a final recommendation.

Run fundamental analysis using AutoGen agents

The `get_bulk_fundamentals` tool pulls deep financial metrics for an entire exchange, allowing your AutoGen agents to divide and conquer the screening process. One agent parses balance sheets while another reviews income statements using this MCP Server. By distributing the analytical load, your agents quickly narrow down a massive list of assets. They use `get_screener` to filter the market, then debate the quality of the remaining companies.

Track insider activity and treasury yields

The `get_insider_transactions` tool retrieves SEC Form 4 filings so your AutoGen agents can monitor executive stock trades. Our MCP integration lets a compliance agent flag heavy selling while a strategy agent evaluates the macroeconomic context. To understand the broader economic environment, the agents call `get_ust_yield_rates` to check treasury yields. This gives your agent group the context needed to balance stock-specific risks against macro trends.

Setup guide

Set up EOD Historical Data MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes EOD Historical Data tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="EOD Historical Data_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent EOD Historical Data data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="EOD Historical Data_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent EOD Historical Data data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EOD Historical Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about EOD Historical Data MCP in AutoGen

Install the AutoGen MCP extension and use the server tools helper to connect to your Vinkius URL. Pass the resulting tool list to your `AssistantAgent` to give them access to financial data.

Yes. One agent fetches historical prices using `get_eod_historical` while another pulls corporate actions via `get_splits` to adjust the pricing models before they finalize their debate over the MCP connection.

You program your agents to cross-reference multiple tools, like comparing `get_sentiments` against raw price trends from `get_real_time`, debating the divergence until they reach a consensus.

Yes. By combining tools like `get_calendar_dividends` and `get_technical_indicators`, your agent group monitors dividend schedules and technical setups to suggest portfolio rebalancing.

Your requests for insider transactions, treasury yields, and balance sheets are processed inside ephemeral, isolated MCP containers. No financial queries or sensitive portfolio symbols are ever logged or exposed.

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