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Built with ❤️ by Krishna Goyal

    Alpha Vantage Mcp

    MCP Server for Alpha Advantage API

    76 stars
    Python
    Updated Oct 16, 2025

    Table of Contents

    • Installation
    • Using Claude Desktop
    • Installing via Docker
    • Installing via Smithery
    • Install packages
    • Running
    • Available Tools
    • get-stock-quote
    • get-company-info
    • get-crypto-exchange-rate
    • get-time-series
    • get-realtime-options
    • get-historical-options
    • get-etf-profile
    • get-crypto-daily
    • get-crypto-weekly
    • get-crypto-monthly
    • get-earnings-calendar
    • get-historical-earnings
    • Error Handling
    • Prerequisites
    • Contributors
    • Contributing
    • License

    Table of Contents

    • Installation
    • Using Claude Desktop
    • Installing via Docker
    • Installing via Smithery
    • Install packages
    • Running
    • Available Tools
    • get-stock-quote
    • get-company-info
    • get-crypto-exchange-rate
    • get-time-series
    • get-realtime-options
    • get-historical-options
    • get-etf-profile
    • get-crypto-daily
    • get-crypto-weekly
    • get-crypto-monthly
    • get-earnings-calendar
    • get-historical-earnings
    • Error Handling
    • Prerequisites
    • Contributors
    • Contributing
    • License

    Documentation

    Alpha Vantage MCP Server

    smithery badge

    A Model Context Protocol (MCP) server that provides real-time access to financial market data through the free Alpha Vantage API. This server implements a standardized interface for retrieving stock quotes and company information.

    Features

    • Real-time stock quotes with price, volume, and change data
    • Detailed company information including sector, industry, and market cap
    • Real-time cryptocurrency exchange rates with bid/ask prices
    • Daily, weekly, and monthly cryptocurrency time series data
    • Real-time options chain data with Greeks and implied volatility
    • Historical options chain data with advanced filtering and sorting
    • Comprehensive ETF profile data with holdings, sector allocation, and key metrics
    • Upcoming earnings calendar with customizable time horizons
    • Historical earnings data with annual and quarterly reports
    • Built-in error handling and rate limit management

    Installation

    Using Claude Desktop

    Installing via Docker

    • Clone the repository and build a local image to be utilized by your Claude desktop client
    sh
    cd alpha-vantage-mcp
    docker build -t mcp/alpha-vantage .
    • Change your claude_desktop_config.json to match the following, replacing REPLACE_API_KEY with your actual key:

    claude_desktop_config.json path

    - On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

    - On Windows: %APPDATA%/Claude/claude_desktop_config.json

    json
    {
      "mcpServers": {
        "alphavantage": {
          "command": "docker",
          "args": [
            "run",
            "-i",
            "-e",
            "ALPHA_VANTAGE_API_KEY",
            "mcp/alpha-vantage"
          ],
          "env": {
            "ALPHA_VANTAGE_API_KEY": "REPLACE_API_KEY"
          }
        }
      }
    }

    Installing via Smithery

    To install Alpha Vantage MCP Server for Claude Desktop automatically via Smithery:

    bash
    npx -y @smithery/cli install @berlinbra/alpha-vantage-mcp --client claude

    Development/Unpublished Servers Configuration

    json
    {
     "mcpServers": {
      "alpha-vantage-mcp": {
       "args": [
        "--directory",
        "/Users/{INSERT_USER}/YOUR/PATH/TO/alpha-vantage-mcp",
        "run",
        "alpha-vantage-mcp"
       ],
       "command": "uv",
       "env": {
        "ALPHA_VANTAGE_API_KEY": ""
       }
      }
     }
    }

    Install packages

    code
    uv install -e .

    Running

    After connecting Claude client with the MCP tool via json file and installing the packages, Claude should see the server's mcp tools:

    You can run the sever yourself via:

    In alpha-vantage-mcp repo:

    code
    uv run src/alpha_vantage_mcp/server.py

    with inspector

    code
    * npx @modelcontextprotocol/inspector uv --directory /Users/{INSERT_USER}/YOUR/PATH/TO/alpha-vantage-mcp run src/alpha_vantage_mcp/server.py `

    Available Tools

    The server implements twelve tools:

    • get-stock-quote: Get the latest stock quote for a specific company
    • get-company-info: Get stock-related information for a specific company
    • get-crypto-exchange-rate: Get current cryptocurrency exchange rates
    • get-time-series: Get historical daily price data for a stock
    • get-realtime-options: Get real-time options chain data with Greeks and implied volatility
    • get-historical-options: Get historical options chain data with advanced filtering and sorting capabilities
    • get-etf-profile: Get comprehensive ETF profile information including holdings and sector allocation
    • get-crypto-daily: Get daily time series data for a cryptocurrency
    • get-crypto-weekly: Get weekly time series data for a cryptocurrency
    • get-crypto-monthly: Get monthly time series data for a cryptocurrency
    • get-earnings-calendar: Get upcoming earnings calendar data for companies
    • get-historical-earnings: Get historical earnings data for a specific company

    get-stock-quote

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Stock symbol (e.g., AAPL, MSFT)"
        }
    }

    Example Response:

    code
    Stock quote for AAPL:
    
    Price: $198.50
    Change: $2.50 (+1.25%)
    Volume: 58942301
    High: $199.62
    Low: $197.20

    get-company-info

    Retrieves detailed company information for a given symbol.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Stock symbol (e.g., AAPL, MSFT)"
        }
    }

    Example Response:

    code
    Company information for AAPL:
    
    Name: Apple Inc
    Sector: Technology
    Industry: Consumer Electronics
    Market Cap: $3000000000000
    Description: Apple Inc. designs, manufactures, and markets smartphones...
    Exchange: NASDAQ
    Currency: USD

    get-crypto-exchange-rate

    Retrieves real-time cryptocurrency exchange rates with additional market data.

    Input Schema:

    json
    {
        "crypto_symbol": {
            "type": "string",
            "description": "Cryptocurrency symbol (e.g., BTC, ETH)"
        },
        "market": {
            "type": "string",
            "description": "Market currency (e.g., USD, EUR)",
            "default": "USD"
        }
    }

    Example Response:

    code
    Cryptocurrency exchange rate for BTC/USD:
    
    From: Bitcoin (BTC)
    To: United States Dollar (USD)
    Exchange Rate: 43521.45000
    Last Updated: 2024-12-17 19:45:00 UTC
    Bid Price: 43521.00000
    Ask Price: 43522.00000

    get-time-series

    Retrieves daily time series (OHLCV) data with optional date filtering.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Stock symbol (e.g., AAPL, MSFT)"
        },
        "outputsize": {
            "type": "string",
            "description": "compact (latest 100 data points) or full (up to 20 years of data). When start_date or end_date is specified, defaults to 'full'",
            "default": "compact"
        },
        "start_date": {
            "type": "string",
            "description": "Optional: Start date in YYYY-MM-DD format for filtering results",
            "pattern": "^20[0-9]{2}-(?:0[1-9]|1[0-2])-(?:0[1-9]|[12](0-9)|3[01])$"
        },
        "end_date": {
            "type": "string",
            "description": "Optional: End date in YYYY-MM-DD format for filtering results",
            "pattern": "^20[0-9]{2}-(?:0[1-9]|1[0-2])-(?:0[1-9]|[12](0-9)|3[01])$"
        },
        "limit": {
            "type": "integer",
            "description": "Optional: Number of data points to return when no date filtering is applied (default: 5)",
            "default": 5,
            "minimum": 1
        }
    }

    Example Response (Recent Data):

    code
    Time Series Data for AAPL (Last Refreshed: 2024-12-17 16:00:00):
    (Showing 5 most recent data points)
    
    Date: 2024-12-16
    Open: $195.09
    High: $197.68
    Low: $194.83
    Close: $197.57
    Volume: 55,751,011
    ---
    Date: 2024-12-13
    Open: $194.50
    High: $196.25
    Low: $193.80
    Close: $195.12
    Volume: 48,320,567
    ---

    Example Response (Date Range Filtering):

    code
    Time Series Data for AAPL (Last Refreshed: 2024-12-17 16:00:00):
    Date Range: 2024-12-01 to 2024-12-07 (5 data points)
    
    Date: 2024-12-06
    Open: $191.25
    High: $193.80
    Low: $190.55
    Close: $192.90
    Volume: 52,145,890
    ---
    Date: 2024-12-05
    Open: $189.75
    High: $192.40
    Low: $188.90
    Close: $191.30
    Volume: 47,892,345
    ---

    get-realtime-options

    Retrieves real-time options chain data for a stock with optional Greeks calculation and contract filtering.

    ⚠️ PREMIUM SUBSCRIPTION REQUIRED: This endpoint requires Alpha Vantage Premium with either the 600 requests/minute or 1200 requests/minute plan. The standard 75 requests/minute plan and free accounts will receive placeholder/demo data instead of real market data. For most use cases, consider using get-historical-options which works with all API key tiers.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Stock symbol (e.g., AAPL, MSFT)"
        },
        "require_greeks": {
            "type": "boolean",
            "description": "Optional: Enable Greeks and implied volatility calculation (default: false)",
            "default": false
        },
        "contract": {
            "type": "string",
            "description": "Optional: Specific options contract ID to retrieve"
        },
        "datatype": {
            "type": "string",
            "description": "Optional: Response format (json or csv, default: json)",
            "enum": ["json", "csv"],
            "default": "json"
        }
    }

    Example Response:

    code
    Realtime Options Data for AAPL
    Last Updated: 2025-01-21 16:00:00
    
    === Expiration: 2025-01-24 ===
    
    Strike: $220.0 (CALL)
    Last: $5.25
    Bid: $5.10
    Ask: $5.30
    Volume: 1250
    Open Interest: 8420
    IV: 0.28
    Delta: 0.65
    Gamma: 0.02
    Theta: -0.15
    Vega: 0.45
    Rho: 0.12
    ---
    
    Strike: $220.0 (PUT)
    Last: $1.85
    Bid: $1.80
    Ask: $1.90
    Volume: 820
    Open Interest: 5240
    IV: 0.25
    Delta: -0.35
    Gamma: 0.02
    Theta: -0.12
    Vega: 0.42
    Rho: -0.08
    ---

    Note: The above example shows real market data which is only available with Alpha Vantage Premium 600+ requests/minute plans. Users with free accounts or 75 requests/minute plans will see placeholder data (symbols like "XXYYZZ", dates like "2099-99-99") and should use get-historical-options instead.

    get-historical-options

    Retrieves historical options chain data with advanced filtering and sorting capabilities to find specific contracts.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Stock symbol (e.g., AAPL, MSFT)"
        },
        "date": {
            "type": "string",
            "description": "Optional: Trading date in YYYY-MM-DD format (defaults to previous trading day, must be after 2008-01-01)",
            "pattern": "^20[0-9]{2}-(?:0[1-9]|1[0-2])-(?:0[1-9]|[12](0-9)|3[01])$"
        },
        "expiry_date": {
            "type": "string",
            "description": "Optional: Filter by expiration date in YYYY-MM-DD format",
            "pattern": "^20[0-9]{2}-(?:0[1-9]|1[0-2])-(?:0[1-9]|[12](0-9)|3[01])$"
        },
        "min_strike": {
            "type": "number",
            "description": "Optional: Minimum strike price filter (e.g., 100.00)",
            "minimum": 0
        },
        "max_strike": {
            "type": "number",
            "description": "Optional: Maximum strike price filter (e.g., 200.00)",
            "minimum": 0
        },
        "contract_id": {
            "type": "string",
            "description": "Optional: Filter by specific contract ID (e.g., MSTR260116C00000500)"
        },
        "contract_type": {
            "type": "string",
            "description": "Optional: Filter by contract type (call or put)",
            "enum": ["call", "put", "C", "P"]
        },
        "limit": {
            "type": "integer",
            "description": "Optional: Number of contracts to return after filtering (default: 10, use -1 for all contracts)",
            "default": 10,
            "minimum": -1
        },
        "sort_by": {
            "type": "string",
            "description": "Optional: Field to sort by",
            "enum": ["strike", "expiration", "volume", "open_interest", "implied_volatility", "delta", "gamma", "theta", "vega", "rho", "last", "bid", "ask"],
            "default": "strike"
        },
        "sort_order": {
            "type": "string",
            "description": "Optional: Sort order",
            "enum": ["asc", "desc"],
            "default": "asc"
        }
    }

    Example Response (Basic):

    code
    Historical Options Data for AAPL (2024-02-20):
    Status: success
    Found 156 contracts, sorted by: strike (asc)
    
    Contract Details:
    Contract ID: AAPL240315C00190000
    Expiration: 2024-03-15
    Strike: $190.00
    Type: call
    Last: $8.45
    Bid: $8.40
    Ask: $8.50
    Volume: 1245
    Open Interest: 4567
    Implied Volatility: 0.25
    Greeks:
      Delta: 0.65
      Gamma: 0.04
      Theta: -0.15
      Vega: 0.30
      Rho: 0.25
    ---

    Example Response (Filtered):

    code
    Historical Options Data for MSTR (2024-02-20):
    Status: success
    Filters: Expiry: 2026-01-16, Strike: min $400 - max $600, Type: call
    Found 3 contracts, sorted by: strike (asc)
    
    Contract Details:
    Contract ID: MSTR260116C00000500
    Expiration: 2026-01-16
    Strike: $500.00
    Type: call
    Last: $125.30
    Bid: $124.50
    Ask: $126.10
    Volume: 89
    Open Interest: 1234
    ---

    get-etf-profile

    Retrieves comprehensive ETF profile information including basic metrics, sector allocation, and top holdings.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "ETF symbol (e.g., QQQ, SPY, VTI)"
        }
    }

    Example Response:

    code
    ETF profile for QQQ:
    
    ETF Profile
    
    Basic Information:
    Net Assets: $352,700,000,000
    Net Expense Ratio: 0.200%
    Portfolio Turnover: 8.0%
    Dividend Yield: 0.50%
    Inception Date: 1999-03-10
    Leveraged: NO
    
    Sector Allocation:
    INFORMATION TECHNOLOGY: 51.9%
    COMMUNICATION SERVICES: 15.4%
    CONSUMER DISCRETIONARY: 12.2%
    CONSUMER STAPLES: 4.8%
    HEALTHCARE: 4.5%
    INDUSTRIALS: 4.4%
    UTILITIES: 1.4%
    MATERIALS: 1.3%
    ENERGY: 0.5%
    FINANCIALS: 0.4%
    
    Top Holdings:
     1. NVDA - NVIDIA CORP: 9.80%
     2. MSFT - MICROSOFT CORP: 8.85%
     3. AAPL - APPLE INC: 7.35%
     4. AMZN - AMAZON.COM INC: 5.65%
     5. AVGO - BROADCOM INC: 5.14%
     6. META - META PLATFORMS INC CLASS A: 3.63%
     7. NFLX - NETFLIX INC: 3.10%
     8. TSLA - TESLA INC: 2.66%
     9. GOOGL - ALPHABET INC CLASS A: 2.49%
    10. COST - COSTCO WHOLESALE CORP: 2.49%
    
    ... and 92 more holdings
    
    Total Holdings: 102

    get-crypto-daily

    Retrieves daily time series data for a cryptocurrency.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Cryptocurrency symbol (e.g., BTC, ETH)"
        },
        "market": {
            "type": "string",
            "description": "Market currency (e.g., USD, EUR)",
            "default": "USD"
        }
    }

    Example Response:

    code
    Daily cryptocurrency time series for SOL in USD:
    
    Daily Time Series for Solana (SOL)
    Market: United States Dollar (USD)
    Last Refreshed: 2025-04-17 00:00:00 UTC
    
    Date: 2025-04-17
    Open: 131.31000000 USD
    High: 131.67000000 USD
    Low: 130.74000000 USD
    Close: 131.15000000 USD
    Volume: 39652.22195178
    ---
    Date: 2025-04-16
    Open: 126.10000000 USD
    High: 133.91000000 USD
    Low: 123.46000000 USD
    Close: 131.32000000 USD
    Volume: 1764240.04195810
    ---

    get-crypto-weekly

    Retrieves weekly time series data for a cryptocurrency.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Cryptocurrency symbol (e.g., BTC, ETH)"
        },
        "market": {
            "type": "string",
            "description": "Market currency (e.g., USD, EUR)",
            "default": "USD"
        }
    }

    Example Response:

    code
    Weekly cryptocurrency time series for SOL in USD:
    
    Weekly Time Series for Solana (SOL)
    Market: United States Dollar (USD)
    Last Refreshed: 2025-04-17 00:00:00 UTC
    
    Date: 2025-04-17
    Open: 128.32000000 USD
    High: 136.00000000 USD
    Low: 123.46000000 USD
    Close: 131.15000000 USD
    Volume: 4823091.05667581
    ---
    Date: 2025-04-13
    Open: 105.81000000 USD
    High: 134.11000000 USD
    Low: 95.16000000 USD
    Close: 128.32000000 USD
    Volume: 18015328.38860037
    ---

    get-crypto-monthly

    Retrieves monthly time series data for a cryptocurrency.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Cryptocurrency symbol (e.g., BTC, ETH)"
        },
        "market": {
            "type": "string",
            "description": "Market currency (e.g., USD, EUR)",
            "default": "USD"
        }
    }

    Example Response:

    code
    Monthly cryptocurrency time series for SOL in USD:
    
    Monthly Time Series for Solana (SOL)
    Market: United States Dollar (USD)
    Last Refreshed: 2025-04-17 00:00:00 UTC
    
    Date: 2025-04-17
    Open: 124.51000000 USD
    High: 136.18000000 USD
    Low: 95.16000000 USD
    Close: 131.15000000 USD
    Volume: 34268628.85976021
    ---
    Date: 2025-03-31
    Open: 148.09000000 USD
    High: 180.00000000 USD
    Low: 112.00000000 USD
    Close: 124.54000000 USD
    Volume: 42360395.75443056
    ---

    get-earnings-calendar

    Retrieves upcoming earnings calendar data for companies with customizable time horizons and sorting capabilities.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Optional: Stock symbol to filter earnings for a specific company (e.g., AAPL, MSFT, IBM)"
        },
        "horizon": {
            "type": "string",
            "description": "Optional: Time horizon for earnings data (3month, 6month, or 12month)",
            "enum": ["3month", "6month", "12month"],
            "default": "12month"
        },
        "limit": {
            "type": "integer",
            "description": "Optional: Number of earnings entries to return (default: 100)",
            "default": 100,
            "minimum": 1
        },
        "sort_by": {
            "type": "string",
            "description": "Optional: Field to sort by",
            "enum": ["reportDate", "symbol", "name", "fiscalDateEnding", "estimate"],
            "default": "reportDate"
        },
        "sort_order": {
            "type": "string",
            "description": "Optional: Sort order",
            "enum": ["asc", "desc"],
            "default": "desc"
        }
    }

    Example Response (Default - Latest First):

    code
    Earnings calendar (12month):
    
    Upcoming Earnings Calendar (Sorted by reportDate desc):
    
    Company: NVDA - NVIDIA Corp
    Report Date: 2025-08-15
    Fiscal Date End: 2025-07-31
    Estimate: $4.25 USD
    ---
    Company: AAPL - Apple Inc
    Report Date: 2025-07-30
    Fiscal Date End: 2025-06-30
    Estimate: $1.85 USD
    ---
    Company: MSTR - MicroStrategy Inc
    Report Date: 2025-05-08
    Fiscal Date End: 2025-03-31
    Estimate: $1.30 USD
    ---
    Company: MSTR - MicroStrategy Inc
    Report Date: 2025-02-06
    Fiscal Date End: 2024-12-31
    Estimate: $1.25 USD
    ---

    Example Response (Sorted by Symbol):

    code
    Earnings calendar (12month):
    
    Upcoming Earnings Calendar (Sorted by symbol asc):
    
    Company: AAPL - Apple Inc
    Report Date: 2025-07-30
    Fiscal Date End: 2025-06-30
    Estimate: $1.85 USD
    ---
    Company: GOOGL - Alphabet Inc
    Report Date: 2025-04-25
    Fiscal Date End: 2025-03-31
    Estimate: $2.15 USD
    ---
    Company: MSTR - MicroStrategy Inc
    Report Date: 2025-02-06
    Fiscal Date End: 2024-12-31
    Estimate: $1.25 USD
    ---

    get-historical-earnings

    Retrieves historical earnings data for a specific company, including both annual and quarterly reports.

    Input Schema:

    json
    {
        "symbol": {
            "type": "string",
            "description": "Stock symbol for the company (e.g., AAPL, MSFT, IBM)"
        },
        "limit_annual": {
            "type": "integer",
            "description": "Optional: Number of annual earnings to return (default: 5)",
            "default": 5,
            "minimum": 1
        },
        "limit_quarterly": {
            "type": "integer",
            "description": "Optional: Number of quarterly earnings to return (default: 8)",
            "default": 8,
            "minimum": 1
        }
    }

    Example Response:

    code
    Historical Earnings for MSTR:
    
    === ANNUAL EARNINGS ===
    Fiscal Year End: 2023-12-31
    Reported EPS: $5.40
    ---
    Fiscal Year End: 2022-12-31
    Reported EPS: $-9.98
    ---
    
    === QUARTERLY EARNINGS ===
    Fiscal Quarter End: 2024-09-30
    Reported Date: 2024-10-30
    Reported EPS: $1.10
    Estimated EPS: $0.98
    Surprise: +$0.12 (+12.24%)
    Report Time: post-market
    ---
    Fiscal Quarter End: 2024-06-30
    Reported Date: 2024-08-01
    Reported EPS: $1.05
    Estimated EPS: $0.92
    Surprise: +$0.13 (+14.13%)
    Report Time: post-market
    ---

    Error Handling

    The server includes comprehensive error handling for various scenarios:

    • Rate limit exceeded
    • Invalid API key
    • Network connectivity issues
    • Timeout handling
    • Malformed responses

    Error messages are returned in a clear, human-readable format.

    Prerequisites

    • Python 3.12 or higher
    • httpx
    • mcp

    Contributors

    • berlinbra
    • zzulanas

    Contributing

    Contributions are welcome! Please feel free to submit a Pull Request.

    License

    This MCP server is licensed under the MIT License.

    This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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