✅ 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

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

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:

1. Discover the authorization server via GET /.well-known/oauth-protected-resource
2. Register with the authorization server (if using Dynamic Client Registration)
3. Obtain access tokens from the authorization server
4. Include tokens in requests: Authorization: Bearer <access-token>
5. 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:

alphavantage-1080p.mov

🔧 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:

1. For Trusted Publishing (recommended):

   • Configure trusted publishing on PyPI/TestPyPI with your GitHub repository
   • No secrets needed - uses OpenID Connect

2. 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.