How to Use the EOD Historical Data MCP in LlamaIndex

Q: Can LlamaIndex search through EOD Historical Data news feeds semantically?

Yes. Your LlamaIndex pipeline fetches articles using getnews, embeds the text, and stores it in a vector database. Your agent then runs semantic queries over recent financial coverage.

Q: Does historical pricing ground my financial advisor agent in LlamaIndex?

Yes. By pulling data through getintradayhistorical, LlamaIndex grounds the agent's responses in verified historical pricing, eliminating general hallucinations about stock performance.

Index live financial data directly into your LlamaIndex vector stores for grounded, hallucination-free analysis.

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Connect EOD Historical Data MCP to LlamaIndex

Create your Vinkius account to connect EOD Historical Data to LlamaIndex 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 LlamaIndex

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Ground financial RAG in live market data

The `get_fundamentals` tool pulls balance sheets and income statements directly into your LlamaIndex knowledge base. Your agent queries this data alongside your local documents, ensuring answers rely on actual financial reports. By feeding this balance sheet data into your vector store, you prevent the LLM from hallucinating historical numbers. The LlamaIndex agent matches user queries against indexed fundamental facts to generate highly accurate reports.

Index historical trends with this MCP Server

The `get_eod_historical` tool retrieves historical price series that LlamaIndex instantly parses into queryable document nodes. This lets you index historical price movements alongside technical setups. You supplement these price indexes with `get_technical_indicators` to build a searchable database of chart setups. LlamaIndex handles the chunking and embedding, making past market behavior searchable via natural language.

Build searchable financial news databases

The `get_news` tool retrieves live financial feeds that your LlamaIndex pipeline indexes on the fly. Your agent searches through these news nodes using our MCP Server integration. You run semantic searches over these indexed articles to extract specific corporate events. Combining this with `get_insider_transactions` gives you a searchable history of executive sentiment and actions.

Setup guide

Set up EOD Historical Data MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all EOD Historical Data MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to EOD Historical Data tools.",
)
response = await agent.run("List recent EOD Historical Data data")

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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 LlamaIndex

Use the LlamaIndex MCP tool loader to grab the endpoints from your Vinkius URL. You call the tools to fetch data and load the resulting JSON directly into your vector index.

Yes. Your LlamaIndex pipeline fetches articles using `get_news`, embeds the text, and stores it in a vector database. Your agent then runs semantic queries over recent financial coverage.

You configure the MCP tool spec in LlamaIndex to expose only a specific list of tools, such as `get_fundamentals` or `get_real_time`. This keeps your agent focused on specific financial data tasks.

Yes. By pulling data through `get_intraday_historical`, LlamaIndex grounds the agent's responses in verified historical pricing, eliminating general hallucinations about stock performance.

No. All requests for financial metrics, such as CUSIP mappings via `get_id_mapping`, run through a zero-trust MCP sandbox. Your specific ticker lists and financial queries remain completely private.

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