What can you do with this server?

This server provides comprehensive access to Alpha Vantage's financial market data API through an MCP interface, offering real-time and historical data across multiple asset classes. Market Data: * Stocks: Real-time quotes, time series data (intraday, daily, weekly, monthly), bulk quotes, symbol search, and market status * Options: Real-time and historical options chain data and contracts * Forex: Exchange rates and time series data for currency pairs * Cryptocurrencies: Intraday and historical digital currency data * Commodities: Real-time and historical data for energy (WTI/Brent crude oil, natural gas), metals (copper, aluminum), and agriculture (wheat, corn, cotton, sugar, coffee) Company Fundamentals: * Company overviews, ETF profiles, financial statements (income, balance sheet, cash flow) * Earnings data, earnings calendar, earnings call transcripts * Dividends, splits, and insider transactions Market Intelligence: * News sentiment analysis, top gainers/losers * IPO calendar, listing status Technical Analysis: * 80+ technical indicators including moving averages (SMA, EMA, WMA, DEMA, KAMA, MAMA, VWAP, T3), oscillators (MACD, RSI, Stochastic, Williams %R), momentum indicators (MOM, ROC, CCI, MFI), volatility metrics (Bollinger Bands, Parabolic SAR), and directional movement indicators * Fixed and sliding window analytics with customizable calculations Economic Indicators: * GDP, CPI, inflation, unemployment, nonfarm payroll, retail sales, durable goods orders, treasury yields, and federal funds rate Deployment Options: * Operate in stdio (for Claude Desktop) or HTTP streaming server modes * Optional OAuth 2.1 authentication for secure access * Prometheus metrics for monitoring and telemetry * AWS Lambda deployment support * Flexible installation via uvx, pip, or from source

Which integrations are available for this server?

Supports serverless deployment of the AlphaVantage MCP server on AWS Lambda with API Gateway, using the stateless MCP pattern for auto-scaling and cost-effective production deployments. Includes automated publishing workflows with trusted publishing using OpenID Connect and manual triggers for deploying to PyPI and TestPyPI. Supports OAuth 2.1 authentication using Keycloak as the authorization server, with token introspection validation for secure access to the MCP server. Implements OAuth 2.1 authentication with OpenID Connect for secure token-based access, including JWT validation, token introspection, and session binding for enhanced security. Provides optional telemetry with Prometheus metrics for monitoring tool calls, execution latency, payload sizes, concurrency, and errors. Publishes the alphavantage-mcp package to PyPI with support for both trusted publishing via OpenID Connect and token-based authentication.

How do I use Alpha Vantage MCP Server?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Alpha Vantage MCP Server show me the current stock price for Apple" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Alpha Vantage MCP Server

by calvernaz

Overview Schema Source Related Servers Discussions Admin

Python

Hybrid

✅ Official Alpha Vantage MCP Server

A MCP server for the stock market data API, Alphavantage API.

MCP Server URL: https://mcp.alphavantage.co

PyPi: https://pypi.org/project/alphavantage-mcp/

Configuration

Getting an API Key

Sign up for a Free Alphavantage API key
Add the API key to your environment variables as ALPHAVANTAGE_API_KEY

Related MCP server: Stock Ticker MCP Server

Installation

Option 1: Using uvx (Recommended)

The easiest way to use the AlphaVantage MCP server is with uvx:

# Run directly without installation
uvx alphavantage-mcp

# Or with specific arguments
uvx alphavantage-mcp --server http --port 8080

Option 2: Using pip

pip install alphavantage-mcp
alphavantage-mcp

Option 3: From source

git clone https://github.com/calvernaz/alphavantage.git
cd alphavantage
uv run alphavantage

Server Modes

The AlphaVantage server can run in two different modes:

Stdio Server (Default)

This is the standard MCP server mode used for tools like Claude Desktop.

alphavantage
# or explicitly:
alphavantage --server stdio

Streamable HTTP Server

This mode provides real-time updates via HTTP streaming.

alphavantage --server http --port 8080

Streamable HTTP Server with OAuth 2.1 Authentication

This mode adds OAuth 2.1 authentication to the HTTP server, following the MCP specification for secure access.

alphavantage --server http --port 8080 --oauth

OAuth Configuration

When using the --oauth flag, the server requires OAuth 2.1 configuration via environment variables:

Required Environment Variables:

export OAUTH_AUTHORIZATION_SERVER_URL="https://your-auth-server.com/realms/your-realm"
export OAUTH_RESOURCE_SERVER_URI="https://your-mcp-server.com"

Optional Environment Variables:

# Token validation method (default: jwt)
export OAUTH_TOKEN_VALIDATION_METHOD="jwt"  # or "introspection"

# For JWT validation
export OAUTH_JWT_PUBLIC_KEY="-----BEGIN PUBLIC KEY-----\n...\n-----END PUBLIC KEY-----"
export OAUTH_JWT_ALGORITHM="RS256"  # default

# For token introspection validation
export OAUTH_INTROSPECTION_ENDPOINT="https://your-auth-server.com/realms/your-realm/protocol/openid-connect/token/introspect"
export OAUTH_INTROSPECTION_CLIENT_ID="your-client-id"
export OAUTH_INTROSPECTION_CLIENT_SECRET="your-client-secret"

# Optional: Required scopes (space-separated)
export OAUTH_REQUIRED_SCOPES="mcp:access mcp:read"

# Optional: Enable session binding for additional security (default: true)
export OAUTH_SESSION_BINDING_ENABLED="true"

OAuth Features

The OAuth implementation provides:

OAuth 2.0 Protected Resource Metadata endpoint (/.well-known/oauth-protected-resource)
Bearer token authentication for all MCP requests
JWT and Token Introspection validation methods
MCP Security Best Practices compliance:
- Token audience validation (prevents token passthrough attacks)
- Session hijacking prevention with secure session IDs
- User-bound sessions for additional security
- Proper WWW-Authenticate headers for 401 responses

Example: Keycloak Configuration

For testing with Keycloak:

# Keycloak OAuth configuration
export OAUTH_AUTHORIZATION_SERVER_URL="https://keycloak.example.com/realms/mcp-realm"
export OAUTH_RESOURCE_SERVER_URI="https://mcp.example.com"
export OAUTH_TOKEN_VALIDATION_METHOD="introspection"
export OAUTH_INTROSPECTION_ENDPOINT="https://keycloak.example.com/realms/mcp-realm/protocol/openid-connect/token/introspect"
export OAUTH_INTROSPECTION_CLIENT_ID="mcp-server"
export OAUTH_INTROSPECTION_CLIENT_SECRET="your-keycloak-client-secret"
export OAUTH_REQUIRED_SCOPES="mcp:access"

# Start server with OAuth
alphavantage --server http --port 8080 --oauth

OAuth Client Flow

When OAuth is enabled, MCP clients must:

Discover the authorization server via GET /.well-known/oauth-protected-resource
Register with the authorization server (if using Dynamic Client Registration)
Obtain access tokens from the authorization server
Include tokens in requests: Authorization: Bearer <access-token>
Handle 401/403 responses and refresh tokens as needed

Options:

--server: Choose between stdio (default) or http server mode
--port: Specify the port for the Streamable HTTP server (default: 8080)
--oauth: Enable OAuth 2.1 authentication (requires --server http)

📊 Telemetry

The AlphaVantage MCP server includes optional Prometheus metrics for monitoring and observability.

Enabling Telemetry

Set the following environment variables to enable telemetry:

# Enable telemetry (default: true)
export MCP_TELEMETRY_ENABLED=true

# Server identification (optional)
export MCP_SERVER_NAME=alphavantage
export MCP_SERVER_VERSION=1.0.0

# Metrics server port (default: 9464)
export MCP_METRICS_PORT=9464

Metrics Endpoint

When telemetry is enabled, Prometheus metrics are available at:

http://localhost:9464/metrics

Available Metrics

The server collects the following metrics for each tool call:

mcp_tool_calls_total - Total number of tool calls (labeled by tool and outcome)
mcp_tool_latency_seconds - Tool execution latency histogram
mcp_tool_request_bytes - Request payload size histogram
mcp_tool_response_bytes - Response payload size histogram
mcp_tool_active_concurrency - Active concurrent tool calls gauge
mcp_tool_errors_total - Total errors by type (timeout, bad_input, connection, unknown)

Example Usage with Telemetry

# Start server with telemetry enabled
export MCP_TELEMETRY_ENABLED=true
export MCP_SERVER_NAME=alphavantage-prod
export ALPHAVANTAGE_API_KEY=your_api_key
alphavantage --server http --port 8080

# View metrics
curl http://localhost:9464/metrics

🚀 AWS Serverless Deployment

Deploy the AlphaVantage MCP Server on AWS Lambda using the stateless MCP pattern for production-ready, scalable deployment.

Quick AWS Deployment

cd deploy/aws-stateless-mcp-lambda
export ALPHAVANTAGE_API_KEY=your_api_key_here
./deploy.sh

Features:

✅ Stateless MCP pattern - Perfect for Lambda's execution model
✅ Auto-scaling - Handles any load with AWS Lambda + API Gateway
✅ Cost-effective - Pay only for requests (~$1-5/month for typical usage)
✅ Production-ready - Based on AWS official sample patterns
✅ OAuth 2.1 support - Optional authentication for secure access

📖 Full Documentation: See AWS Deployment Guide for complete setup instructions, testing, monitoring, and troubleshooting.

Usage with Claude Desktop

Option 1: Using uvx (Recommended)

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "alphavantage": {
      "command": "uvx",
      "args": ["alphavantage-mcp"],
      "env": {
        "ALPHAVANTAGE_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Option 2: From source

If you cloned the repository, use this configuration:

{
  "mcpServers": {
    "alphavantage": {
      "command": "uv",
      "args": [
        "--directory",
        "<DIRECTORY-OF-CLONED-PROJECT>/alphavantage",
        "run",
        "alphavantage"
      ],
      "env": {
        "ALPHAVANTAGE_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Running the Server in Streamable HTTP Mode

Using uvx:

{
  "mcpServers": {
    "alphavantage": {
      "command": "uvx",
      "args": ["alphavantage-mcp", "--server", "http", "--port", "8080"],
      "env": {
        "ALPHAVANTAGE_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

From source:

{
  "mcpServers": {
    "alphavantage": {
      "command": "uv",
      "args": [
        "--directory",
        "<DIRECTORY-OF-CLONED-PROJECT>/alphavantage",
        "run",
        "alphavantage",
        "--server",
        "http",
        "--port",
        "8080"
      ],
      "env": {
        "ALPHAVANTAGE_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

📺 Demo Video

Watch a quick demonstration of the Alpha Vantage MCP Server in action:

Alpha Vantage MCP Server Demo

🔧 Development & Publishing

Publishing to PyPI

This project includes scripts for publishing to PyPI and TestPyPI:

# Publish to TestPyPI (for testing)
python scripts/publish.py --test

# Publish to PyPI (production)
python scripts/publish.py

# Use uv publish instead of twine
python scripts/publish.py --test --use-uv

The script uses twine by default (recommended) but can also use uv publish with the --use-uv flag.

GitHub Actions

The repository includes a GitHub Actions workflow for automated publishing:

Trusted Publishing: Uses PyPA's official publish action with OpenID Connect
Manual Trigger: Can be triggered manually with options for TestPyPI vs PyPI
Twine Fallback: Supports both trusted publishing and twine-based publishing

To set up publishing:

For Trusted Publishing (recommended):
- Configure trusted publishing on PyPI/TestPyPI with your GitHub repository
- No secrets needed - uses OpenID Connect
For Token-based Publishing:
- Add PYPI_API_TOKEN and TEST_PYPI_API_TOKEN secrets to your repository
- Use the "Use twine" option in the workflow dispatch

🤝 Contributing

We welcome contributions from the community! To get started, check out our contribution guide for setup instructions, development tips, and guidelines.

Available Tools

111 tools

adD

Fetch accumulation/distribution line

Inputs: symbol (required), interval (required), month, datatype.

adoscC

Fetch accumulation/distribution oscillator

Inputs: symbol (required), interval (required), fastperiod (required), slowperiod (required), +2 more.

adxD

Fetch average directional movement index

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

adxrC

Fetch average directional movement index rating

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

all_commoditiesD

Fetch all commodities

Inputs: interval, datatype.

aluminumD

Fetch aluminum

Inputs: interval, datatype.

analytics_fixed_windowD

Fetch analytics fixed window

Inputs: symbols (required), interval (required), series_range (required), calculations (required), +1 more.

analytics_sliding_windowD

Fetch analytics sliding window

Inputs: symbols (required), interval (required), series_range (required), window_size (required), +2 more.

apoC

Fetch absolute price oscillator

Inputs: symbol (required), interval (required), series_type (required), fastperiod (required), +4 more.

aroonD

Fetch aroon

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

aroonoscD

Fetch aroon oscillator

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

atrC

Fetch average true range

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

balance_sheetC

Fetch company balance sheet

Inputs: symbol (required).

bbandsC

Fetch bollinger bands

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +4 more.

bopD

Fetch balance of power

Inputs: symbol (required), interval (required), month, datatype.

brent_crude_oilD

Fetch Brent crude oil

Inputs: interval, datatype.

cash_flowC

Fetch company cash flow

Inputs: symbol (required).

cciC

Fetch commodity channel index

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

cmoC

Fetch chande momentum oscillator

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

coffeeD

Fetch coffee

Inputs: interval, datatype.

company_dividendsD

Fetch company splits

Inputs: symbol (required).

company_earningsC

Fetch company earnings

Inputs: symbol (required).

company_overviewC

Fetch company overview

Inputs: symbol (required).

copperD

Fetch copper

Inputs: interval, datatype.

cornD

Fetch corn

Inputs: interval, datatype.

cottonD

Fetch cotton

Inputs: interval, datatype.

cpiC

Fetch consumer price index

Inputs: interval, datatype.

crypto_intradayD

Fetch crypto intraday

Inputs: symbol (required), market (required), interval (required), outputsize, +1 more.

demaC

Fetch double exponential moving average

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

digital_currency_dailyC

Fetch digital currency daily

Inputs: symbol (required), market (required).

digital_currency_monthlyC

Fetch digital currency monthly

Inputs: symbol (required), market (required).

digital_currency_weeklyC

Fetch digital currency weekly

Inputs: symbol (required), market (required).

durablesD

Fetch durables

Inputs: datatype.

dxD

Fetch directional movement index

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

earnings_calendarC

Fetch company earnings calendar

Inputs: symbol, horizon.

earnings_call_transcriptC

Fetch the earnings call transcript for a given company in a specific quarter

Inputs: symbol (required), quarter (required).

emaC

Fetch exponential moving average

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

etf_profileC

Fetch ETF profile

Inputs: symbol (required).

exchange_rateD

Fetch exchange rate

Inputs: from_currency (required), to_currency (required).

federal_funds_rateC

Fetch federal funds rate

Inputs: interval, datatype.

fx_dailyC

Fetch FX daily

Inputs: from_symbol (required), to_symbol (required), datatype, outputsize.

fx_intradayD

Fetch FX intraday

Inputs: from_symbol (required), to_symbol (required), interval (required), outputsize, +1 more.

fx_monthlyD

Fetch FX monthly

Inputs: from_symbol (required), to_symbol (required), datatype.

fx_weeklyC

Fetch FX weekly

Inputs: from_symbol (required), to_symbol (required), datatype.

historical_optionsD

Fetch historical options

Inputs: symbol (required), datatype, contract.

ht_dcperiodC

Fetch hilbert transform - dominant cycle period

Inputs: symbol (required), interval (required), month, series_type, +1 more.

ht_dcphaseD

Fetch hilbert transform - dominant cycle phase

Inputs: symbol (required), interval (required), month, datatype.

ht_phasorD

Fetch hilbert transform - phasor components

Inputs: symbol (required), interval (required), month, datatype.

ht_sineD

Fetch hilbert transform - sine wave

Inputs: symbol (required), interval (required), series_type (required), month, +1 more.

ht_trendlineD

Fetch hilbert transform - trendline

Inputs: symbol (required), interval (required), series_type (required), month, +1 more.

ht_trendmodeD

Fetch hilbert transform - trend mode

Inputs: symbol (required), interval (required), month, datatype.

income_statementC

Fetch company income statement

Inputs: symbol (required).

inflationD

Fetch inflation

Inputs: datatype.

insider_transactionsC

Fetch insider transactions

Inputs: symbol (required).

ipo_calendarB

Fetch IPO calendar

Inputs: no named parameters.

kamaC

Fetch Kaufman adaptive moving average

Inputs: symbol, interval, month, time_period, +2 more.

listing_statusD

Fetch listing status

Inputs: symbol, date, state.

macdC

Fetch moving average convergence divergence

Inputs: symbol (required), interval (required), series_type (required), month, +4 more.

macdextD

Fetch moving average convergence divergence next

Inputs: symbol (required), interval (required), series_type (required), month, +7 more.

mamaC

Fetch MESA adaptive moving average

Inputs: symbol (required), interval (required), series_type (required), fastlimit (required), +3 more.

market_statusC

Fetch market status

Inputs: no named parameters.

mfiD

Fetch money flow index

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

midpointD

Fetch midpoint

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

midpriceD

Fetch midprice

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

minus_diD

Fetch minus directional indicator

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

minus_dmD

Fetch minus directional movement

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

momD

Fetch momentum

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

natrD

Fetch normalized average true range

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

natural_gasD

Fetch natural gas

Inputs: interval, datatype.

news_sentimentD

Fetch news sentiment

Inputs: tickers (required), topics, time_from, time_to, +3 more.

nonfarm_payrollD

Fetch nonfarm payroll

Inputs: datatype.

obvC

Fetch on balance volume

Inputs: symbol (required), interval (required), month, datatype.

plus_diD

Fetch plus directional indicator

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

plus_dmD

Fetch plus directional movement

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

ppoC

Fetch percentage price oscillator

Inputs: symbol (required), interval (required), series_type (required), fastperiod (required), +4 more.

real_gdpD

Fetch real GDP

Inputs: interval, datatype.

real_gdp_per_capitaC

Fetch real GDP per capita

Inputs: datatype.

realtime_bulk_quotesC

Fetch real time bulk quotes

Inputs: symbols (required).

realtime_optionsD

Fetch realtime options

Inputs: symbol (required), datatype, contract.

retail_salesD

Fetch retail sales

Inputs: datatype.

rocD

Fetch rate of change

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

rocrD

Fetch rate of change ratio

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

rsiD

Fetch relative strength index

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

sarD

Fetch parabolic sar

Inputs: symbol (required), interval (required), month, acceleration, +2 more.

smaD

Fetch simple moving average

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +3 more.

stochD

Fetch stochastic oscillator

Inputs: symbol (required), interval (required), month, fastkperiod, +5 more.

stochfC

Fetch stochastic oscillator fast

Inputs: symbol (required), interval (required), month, fastkperiod, +3 more.

stochrsiC

Fetch stochastic relative strength index

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +5 more.

stock_quoteC

Fetch a stock quote

Inputs: symbol (required), datatype.

sugarD

Fetch sugar

Inputs: interval, datatype.

symbol_searchD

Search endpoint

Inputs: keywords (required), datatype.

t3C

Fetch triple exponential moving average

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

time_series_dailyD

Fetch a time series daily

Inputs: symbol (required), outputsize, datatype.

time_series_daily_adjustedD

Fetch a time series daily adjusted

Inputs: symbol (required), outputsize, datatype.

time_series_intradayD

Fetch a time series intraday

Inputs: symbol (required), interval (required), adjusted, outputsize, +2 more.

time_series_monthlyC

Fetch a time series monthly

Inputs: symbol (required), datatype.

time_series_monthly_adjustedD

Fetch a time series monthly adjusted

Inputs: symbol (required), datatype.

time_series_weeklyD

Fetch a time series weekly

Inputs: symbol (required), datatype.

time_series_weekly_adjustedC

Fetch a time series weekly adjusted

Inputs: symbol (required), datatype.

top_gainers_losersC

Fetch top gainers and losers

Inputs: no named parameters.

trangeD

Fetch true range

Inputs: symbol (required), interval (required), month, datatype.

treasury_yieldD

Fetch treasury yield

Inputs: interval, maturity, datatype.

trimaD

Fetch triangular moving average

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

trixD

Fetch triple exponential average

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

ultoscD

Fetch ultimate oscillator

Inputs: symbol (required), interval (required), timeperiod1 (required), timeperiod2 (required), +3 more.

unemploymentD

Fetch unemployment

Inputs: datatype.

vwapC

Fetch volume weighted average price

Inputs: symbol (required), interval (required), month, datatype.

wheatD

Fetch wheat

Inputs: interval, datatype.

willrD

Fetch williams percent range

Inputs: symbol (required), interval (required), time_period (required), month, +1 more.

wmaD

Fetch weighted moving average

Inputs: symbol (required), interval (required), time_period (required), series_type (required), +2 more.

wti_crude_oilC

Fetch WTI crude oil

Inputs: interval, datatype.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

C2.4/5.0

Scored 2026-04-18 08:16 across 111 tools

Disambiguation4/5

Most tools are clearly distinct, targeting specific financial indicators, commodities, or data types (e.g., 'ad' vs. 'adx', 'balance_sheet' vs. 'cash_flow'). However, some overlap exists in time series tools (e.g., 'time_series_daily' vs. 'time_series_daily_adjusted') and similar indicators (e.g., 'stoch' vs. 'stochf'), which could cause minor confusion without careful parameter inspection.

Naming Consistency5/5

Tool names follow a highly consistent pattern, primarily using snake_case with descriptive, abbreviated names for technical indicators (e.g., 'rsi', 'macd') and full phrases for broader data (e.g., 'company_overview', 'federal_funds_rate'). The naming is uniform across all 111 tools, making them predictable and readable.

Tool Count2/5

With 111 tools, the count is excessive for an MCP server, likely overwhelming agents and users. While Alpha Vantage's API is extensive, this tool set feels bloated; a more curated selection or categorization would improve usability. It exceeds typical well-scoped ranges (3-15 tools) significantly.

Completeness5/5

The tool set provides comprehensive coverage of Alpha Vantage's financial data domain, including technical indicators, fundamental data, commodities, forex, crypto, and economic indicators. There are no obvious gaps; it supports full data retrieval workflows across multiple asset classes and timeframes.

Maintenance

ActivityInactive

ResponsivenessNo recent community issues

Resources

Related MCP Connectors

finance-mcp-serverA
com.thenextgennexus
Live stock quotes, a stock screener, crypto prices and FX rates as agent tools.
Finance Cryptocurrency
2
https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/finance-mcp-server/mcp
AlphavantageA
io.github.pipeworx-io
Alpha Vantage MCP — Stock market data, fundamentals, and earnings
Finance Search Open Data
502
https://gateway.pipeworx.io/alphavantage/mcp
aicastle-school-openai-api-agent-project
ai.smithery
Fetch current stock prices and key data for symbols across global markets. Look up companies like…
Finance Search
211
https://server.smithery.ai/@aicastle-school/openai-api-agent-project/mcp
yahoo-finance-mcp-serverA
com.thenextgennexus
Yahoo Finance stock quotes and multi-ticker comparison as agent tools.
Finance Research & Data
2
https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/yahoo-finance-mcp-server/mcp

Related MCP Servers

Alpha Vantage Stock Analysis
Finance Search
ranveer0323
A
license
D
quality
D
maintenance
Allows Claude and other MCP clients to access real-time and historical stock market data from Alpha Vantage API, including intraday and daily stock data with customizable intervals.
Updated 2 years ago (2025-03-28 17:31 UTC)
3
14 npm
6
MIT
Stock Ticker MCP Server
tonkatsutoast
-
license
Not graded
quality
D
maintenance
Provides real-time and historical stock market data through the Alpha Vantage API. Enables users to get current stock prices and retrieve historical stock data for any major stock symbol via natural language queries.
Updated a year ago (2025-09-25 01:20 UTC)
-
Stocks MCP Server
Finance Blockchain
Maharshi2708
F
license
Not graded
quality
D
maintenance
Provides real-time access to financial market data including stock quotes, company information, cryptocurrency exchange rates, historical options chains, and time series data through the Alpha Vantage API.
Updated a year ago (2025-09-30 04:30 UTC)
-
AlphaVantage MCP Server
Finance Search Research & Data
NonmaskableInt
A
license
A
quality
D
maintenance
Provides comprehensive market data, fundamental analysis, and technical indicators through the AlphaVantage API. It enables users to fetch financial statements, stock prices, and market news with sentiment analysis for detailed financial research.
Updated 4 months ago (2026-07-03 01:03 UTC)
9
1
MIT

✅ Official Alpha Vantage MCP Server

Configuration

Getting an API Key

Installation

Option 1: Using uvx (Recommended)

Option 2: Using pip

Option 3: From source

Server Modes

Stdio Server (Default)

Streamable HTTP Server

Streamable HTTP Server with OAuth 2.1 Authentication

OAuth Configuration

OAuth Features

Example: Keycloak Configuration

OAuth Client Flow

📊 Telemetry

Enabling Telemetry

Metrics Endpoint

Available Metrics

Example Usage with Telemetry

🚀 AWS Serverless Deployment

Quick AWS Deployment

Usage with Claude Desktop

Option 1: Using uvx (Recommended)

Option 2: From source

Running the Server in Streamable HTTP Mode

📺 Demo Video

🔧 Development & Publishing

Publishing to PyPI

GitHub Actions

🤝 Contributing

Available Tools

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

Alpha Vantage Stock Analysis

Stock Ticker MCP Server

Stocks MCP Server

AlphaVantage MCP Server