Alpha Vantage MCP Server for LlamaIndex 13 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Alpha Vantage as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Alpha Vantage. "
"You have 13 tools available."
),
)
response = await agent.run(
"What tools are available in Alpha Vantage?"
)
print(response)
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 Alpha Vantage MCP Server
Connect to Alpha Vantage APIs through any AI agent and explore global financial markets through natural conversation.
LlamaIndex agents combine Alpha Vantage tool responses with indexed documents for comprehensive, grounded answers. Connect 13 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 Quotes — Get current stock prices, volume, high/low, open and previous close
- Time Series — Access daily, weekly, monthly and intraday OHLCV data with 20+ years of history
- Technical Indicators — Calculate RSI, SMA, EMA, MACD, Bollinger Bands and 50+ other indicators
- Company Fundamentals — Retrieve company overview, market cap, PE ratio, EPS and earnings history
- Sector Performance — Monitor real-time performance of all 11 market sectors
- News Sentiment — Fetch news articles with sentiment scores for stock tickers
- Crypto & Forex — Get daily cryptocurrency and foreign exchange rate data
The Alpha Vantage MCP Server exposes 13 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 Alpha Vantage to LlamaIndex via MCP
Follow these steps to integrate the Alpha Vantage MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 13 tools from Alpha Vantage
Why Use LlamaIndex with the Alpha Vantage MCP Server
LlamaIndex provides unique advantages when paired with Alpha Vantage through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Alpha Vantage tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Alpha Vantage tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Alpha Vantage, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Alpha Vantage tools were called, what data was returned, and how it influenced the final answer
Alpha Vantage + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Alpha Vantage MCP Server delivers measurable value.
Hybrid search: combine Alpha Vantage real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Alpha Vantage to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Alpha Vantage for fresh data
Analytical workflows: chain Alpha Vantage queries with LlamaIndex's data connectors to build multi-source analytical reports
Alpha Vantage MCP Tools for LlamaIndex (13)
These 13 tools become available when you connect Alpha Vantage to LlamaIndex via MCP:
get_company_overview
Useful for fundamental analysis and stock screening. Get company overview and fundamentals
get_crypto_daily
Requires the crypto symbol (e.g. "BTC") and the market currency (e.g. "USD"). Returns daily price data with dates. Get daily cryptocurrency prices
get_daily_time_series
Optionally set outputsize to "compact" (last 100 data points, default) or "full" (20+ years of data). Returns daily price data with dates. Get daily stock time series
get_earnings
Useful for earnings analysis and identifying beats/misses. Get earnings history for a stock
get_forex_daily
Requires the from symbol (e.g. "EUR") and to symbol (e.g. "USD"). Returns daily OHLCV forex data with dates. Get daily foreign exchange rates
get_intraday_time_series
Optionally set interval (1min, 5min, 15min, 30min, 60min) and outputsize. Returns price data at the specified interval. Useful for day trading analysis. Get intraday stock time series
get_monthly_time_series
Each data point represents a month of trading. Useful for long-term trend analysis and portfolio review. Get monthly stock time series
get_news_sentiment
Each article includes title, summary, source, sentiment scores (bullish/bearish score) and relevance score. Optionally filter by topics and limit the number of results. Get news sentiment for stock tickers
get_quote
Returns current trading data including change and change percent. Useful for quick price checks. Get real-time stock quote
get_rsi
RSI measures momentum on a 0-100 scale; above 70 indicates overbought, below 30 indicates oversold. Optionally set interval, time period and series type (close, open, high, low). Get Relative Strength Index (RSI) indicator
get_sector_performance
Returns change percentages for each sector. Get real-time sector performance
get_weekly_time_series
Each data point represents a week of trading. Useful for medium-term trend analysis. Get weekly stock time series
search_symbol
Returns best matches with symbol, name, type and region. Useful for discovering the correct symbol before querying price data. Search for stock symbols by keywords
Example Prompts for Alpha Vantage in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Alpha Vantage immediately.
"Show me the current quote for Apple stock."
"Show me the RSI for Tesla over the last 14 days."
"What are the top performing sectors today?"
Troubleshooting Alpha Vantage MCP Server with LlamaIndex
Common issues when connecting Alpha Vantage to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAlpha Vantage + LlamaIndex FAQ
Common questions about integrating Alpha Vantage MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Alpha Vantage with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Alpha Vantage to LlamaIndex
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.