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EODHD Financial MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EODHD Financial as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to EODHD Financial. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in EODHD Financial?"
    )
    print(response)

asyncio.run(main())
EODHD Financial
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V8 IsolateSandboxed
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<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 EODHD Financial MCP Server

Connect to EODHD Financial Data and access professional-grade stock market data through natural conversation.

LlamaIndex agents combine EODHD Financial tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Real-Time Prices — Get current stock prices with change, volume and previous close
  • Historical EOD Data — Download end-of-day price history with OHLCV data
  • Fundamentals — Access P/E ratios, market cap, earnings, financial statements and analyst targets
  • Dividends — View dividend payment history with ex-dividend dates and amounts
  • Stock Splits — Track stock split history with split ratios
  • Ticker Search — Find stock symbols by company name across global exchanges
  • Multi-Ticker — Get prices for multiple stocks in one call

The EODHD Financial MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 EODHD Financial to LlamaIndex via MCP

Follow these steps to integrate the EODHD Financial MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from EODHD Financial

Why Use LlamaIndex with the EODHD Financial MCP Server

LlamaIndex provides unique advantages when paired with EODHD Financial through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine EODHD Financial tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain EODHD Financial tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query EODHD Financial, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what EODHD Financial tools were called, what data was returned, and how it influenced the final answer

EODHD Financial + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the EODHD Financial MCP Server delivers measurable value.

01

Hybrid search: combine EODHD Financial real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query EODHD Financial to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying EODHD Financial for fresh data

04

Analytical workflows: chain EODHD Financial queries with LlamaIndex's data connectors to build multi-source analytical reports

EODHD Financial MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect EODHD Financial to LlamaIndex via MCP:

01

get_dividends

Returns ex-dividend date, payment date, record date, declaration date and dividend amount per share. Symbol format: TICKER.EXCHANGE. Supports date range filtering. Get dividend history for a stock

02

get_eod_data

Supports daily, weekly and monthly periods. Symbol format: TICKER.EXCHANGE (e.g. "AAPL.US"). Use date_from and date_to for date range filtering. Get historical end-of-day stock data

03

get_exchange_symbols

Returns symbol codes, names, country and exchange info. Common exchanges: "US" (NYSE/NASDAQ), "XETRA" (Germany), "LSE" (London), "TO" (Tokyo), "PA" (Paris). Get all symbols for a specific exchange

04

get_fundamentals

Symbol format: TICKER.EXCHANGE. Use filter parameter to request specific sections (e.g. "General,Highlights,Valuation"). Get fundamental data for a stock

05

get_historical_dividends

Provide comma-separated symbols (e.g. "AAPL.US,MSFT.US,GOOGL.US"). Returns dividend dates and amounts for all matching tickers. Get historical dividends for multiple tickers

06

get_historical_splits

Provide comma-separated symbols. Returns split dates and ratios for all matching tickers. Get historical stock splits for multiple tickers

07

get_multi_price

Provide comma-separated symbols (e.g. "AAPL.US,MSFT.US,GOOGL.US"). Returns price, change and change percent for each. Get real-time prices for multiple tickers

08

get_realtime_price

Symbol format: TICKER.EXCHANGE (e.g. "AAPL.US" for Apple, "MSFT.US" for Microsoft, "BMW.XETRA" for BMW). Returns current price, open, high, low, close, volume, previous close, change and change percent. Get real-time stock price

09

get_splits

Returns split date and split ratio (e.g. "2:1" for a 2-for-1 split). Symbol format: TICKER.EXCHANGE. Get stock split history for a stock

10

search_tickers

Returns matching symbols with exchange, name, country and type. Useful for finding the correct symbol format for other API calls. Search for stock tickers by name or symbol

Example Prompts for EODHD Financial in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with EODHD Financial immediately.

01

"What's the current price of Apple stock?"

02

"Show me Microsoft's fundamentals."

03

"Get prices for AAPL, MSFT and GOOGL."

Troubleshooting EODHD Financial MCP Server with LlamaIndex

Common issues when connecting EODHD Financial to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

EODHD Financial + LlamaIndex FAQ

Common questions about integrating EODHD Financial MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query EODHD Financial tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect EODHD Financial to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.