Alpha Vantage MCP

Setup Instructions by Use Case

💬📊 Power your chatbot with financial data

<details> <summary><b>Install in Claude</b></summary>

Requirements: - Claude Pro account (or higher tier) #### Claude Remote Server Connection

To connect Claude (Web or Desktop) to this MCP server:

📺 Watch the setup tutorial - Click the image below to watch a step-by-step video guide:

📺 Already have your Alpha Vantage MCP server set up? Below are a few examples of Claude performing various stock analysis & charting tasks:

Query Param Option (Recommended): 1. Go to claude.ai/settings/connectors (Web) or Settings → Connectors (Desktop) 2. Click "Add Custom Connector" 3. Add the MCP server URL with your API key: https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY (replace YOUR_API_KEY with your actual Alpha Vantage API key) 4. Click "Connect"

OAuth Option: 1. Go to claude.ai/settings/connectors (Web) or Settings → Connectors (Desktop) 2. Click "Add Custom Connector" 3. Add the MCP server URL: https://mcp.alphavantage.co/mcp 4. Click "Connect" 5. Enter your Alpha Vantage API token 6. Click "Authorize Access"

#### Claude Local Server Connection See Claude Desktop MCP docs for more info.

Install uv (a modern Python package and project manager):

curl -LsSf https://astral.sh/uv/install.sh | sh

Open Claude Desktop developer settings and edit your claude_desktop_config.json file to add the following configuration:

{
  "mcpServers": {
    "alphavantage": {
      "command": "uvx",
      "args": ["marketdata-mcp-server", "YOUR_API_KEY"]
    }
  }
}

Replace YOUR_API_KEY with your actual Alpha Vantage API key.

</details>

<details> <summary><b>Install in ChatGPT</b></summary>

Requirements: - ChatGPT Plus account (or higher tier) - Developer mode enabled (beta feature) - see OpenAI's Developer Mode documentation

📺 Watch the setup tutorial - Click the image below to watch a step-by-step video guide:

📺 Already have your Alpha Vantage MCP server set up? Below are a few examples of ChatGPT performing various stock analysis & charting tasks:

Setup: 1. Go to ChatGPT Settings → Apps 2. Click on Advanced settings → enable Developer mode 3. Return to the Apps submenu, then click Create app. 4. MCP Server URL: https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY (replace YOUR_API_KEY with your actual Alpha Vantage API key). 5. Authentication: No authentication

Note: When you return to your conversation, your UI will clearly indicate that you are in Developer mode. ChatGPT will retain memory of any previous remarks made within the same chat session; however, these sessions may not be persisted, meaning the conversation generated while Developer mode is active may not be saved or accessible once closed.

Troubleshooting for ChatGPT Plus Accounts

While Developer mode is available for both Plus and Pro accounts, on Plus accounts, first-time MCP tool execution may exhibit inconsistent behavior. This primarily affects large data payloads returned from the MCP server. If you notice that MCP calls abruptly terminate without returning any JSON response, try the following:

1. Confirm Connection - Confirm the connection by prompting:

     List 3 functions available in Alpha Vantage MCP server.
     

2. Force JSON Passthrough with simple payload - Use the following prompts in sequence to prime ChatGPT to surface the full payload:

     Run ADD_TWO_NUMBERS from Alpha Vantage MCP Server using 3 and 6, and then show the JSON response.
     

     Why aren't you receiving a JSON response?
     

     Explicitly request a return value from the tool response to verify what the server outputs.
     

3. Force JSON Passthrough with large payload - Once step #2 has been successful, repeat step #2 with the larger call:

     Run TIME_SERIES_DAILY using NVDA, and then show the JSON response.
     

<details> <summary><b>Install in Grok</b></summary>

Requirements: - SuperGrok (or higher tier)

Setup: 1. Click the + button → Connectors → Add connector → Custom 2. Name: Alpha Vantage MCP Server (or whatever you prefer) 3. Server URL: https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY (replace YOUR_API_KEY with your actual Alpha Vantage API key). 4. Click Add Connector </details>

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🤖📈 Create agentic workflows for quantitative investing

<details> <summary><b>Install in 🦞OpenClaw🦞</b></summary>

Requirements: - Mac with Apple Silicon (or dedicated Mac mini) - LLM API Key (OpenAI used in demo) - Messaging Platform Bot Token (Telegram used in demo)

📺 Watch the setup tutorial (click image below)

• View the detailed installation guide from GitHub Gist
• For additional support links, please check the video description on YouTube.

</details>

<details> <summary><b>Configure in OpenAI Agent Builder</b></summary>

Requirements: - OpenAI account with access to Agent Builder (e.g., billing details added, organization verified)

📺 Watch the setup tutorial. (Click image below.)

OpenAI Agent Builder Connection

To connect OpenAI Agent Builder to this MCP server:

1. Do not add a separate MCP Server object. Instead, click on your agent in OpenAI Agent Builder to add the MCP Server directly to the agent. 2. Find the Tools section of the agent and click the + button to add a new tool 3. Select MCP Server 4. Click "+ Server" in the upper right of the "Add MCP server" menu 5. Configure the MCP server with the following settings: - URL: https://mcp.alphavantage.co/mcp - Label: Alpha Vantage MCP Server (or any name you prefer) - Description: Financial market data and technical indicators (or any description you prefer) - Authentication: Select "Access token / API key" (should be default) - Access Token: Enter your Alpha Vantage API key 6. Click Connect 7. If successful, the next prompt will display all the tools. Scroll to the bottom and click Add.

Recommended Agent Instructions:

Add the following instruction to your agent's configuration to optimize performance:

You are a helpful financial agent with access to market data through Alpha Vantage MCP Server.

IMPORTANT: Alpha Vantage functions are accessed via wrapper tools:
- Use TOOL_LIST to see available functions (TIME_SERIES_DAILY, RSI, COMPANY_OVERVIEW, etc.)
- Use TOOL_CALL with the format: TOOL_CALL(tool_name="FUNCTION_NAME", arguments={...})
- Example: TOOL_CALL(tool_name="TIME_SERIES_DAILY", arguments={"symbol": "AAPL", "outputsize": "compact"})

<details> <summary><b>Install in OpenAI Agents SDK</b></summary>

To use the Alpha Vantage MCP server with OpenAI Agents SDK, see our example agent that demonstrates:

• Interactive financial analysis agent
• Session management for conversation continuity
• Real-time tool execution with Alpha Vantage data
• Support for both HTTP and stdio MCP connections

The example includes a complete setup guide and configuration templates.

</details>

<details> <summary><b>Configure in Microsoft Foundry Agent Service</b></summary>

Requirements: - Azure subscription with access to Azure AI Foundry

Microsoft Foundry Agent Service Connection

To connect a Foundry agent to this MCP server:

1. Open your agent (or Create Agent from Home Dashboard) in Azure AI Foundry's Agent playground or Agent designer. 2. In the Tools section of the agent configuration, click Add → Browse All Tools. Select the Custom category underneath "Select a Tool" and select Model Context Protocol 3. Configure the MCP server with the following settings: - Unauthenticated (recommended): - Server label: alpha-vantage-mcp-server (or any name you prefer) - Server URL: https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY - Replace YOUR_API_KEY with your actual Alpha Vantage API key. - Authentication: Select Unauthenticated - Key-based authentication (alternative): - Server label: alpha-vantage-mcp-server (or any name you prefer) - Server URL: https://mcp.alphavantage.co/mcp - Authentication: Select Key-based authentication - Credential - Click "Add key value pair" - Key: apikey - Value: Enter your Alpha Vantage API key 4. Click Connect

Recommended Agent Instructions:

Add the following instruction to your agent's system prompt to optimize performance:

You are a helpful financial agent with access to market data through Alpha Vantage MCP Server.
IMPORTANT: Alpha Vantage functions are accessed via wrapper tools:

Use TOOL_LIST to see available functions (TIME_SERIES_DAILY, RSI, COMPANY_OVERVIEW, etc.)
Use TOOL_GET to retrieve the schema for a specific function before calling it
Use TOOL_CALL with the format: TOOL_CALL(tool_name="FUNCTION_NAME", arguments={...})
Example: TOOL_CALL(tool_name="TIME_SERIES_DAILY", arguments={"symbol": "IBM", "outputsize": "compact"})

Always use Alpha Vantage MCP Server for market data queries. Do not answer from prior knowledge or web search.

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💻💵 Code up fintech apps

<details> <summary><b>Install in OpenAI Codex</b></summary>

Requirements: - ChatGPT Plus account (or higher tier)

See OpenAI Codex for more information.

📺 Watch the setup tutorial. (Click image below.) This video additionally provides guidance on handling setup errors and building complete end-to-end applications which are empowered to fetch market data to power dynamic, data-driven visualizations.

• Download the companion .md file from Github Gist.
• For additional support links, please check the video description on YouTube.

Install uv (a modern Python package and project manager):

curl -LsSf https://astral.sh/uv/install.sh | sh

Install Codex CLI v0.34 or later to avoid compatibility issues.

```bash

Install (if not already installed)

npm install -g @openai/codex

Verify installation and version

codex --version

Add the following configuration to your Codex MCP server settings by editing `~/.codex/config.toml`:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

Run `codex` in your terminal from your project directory. First-time users will be guided through additional prompts.

Then connect with:

</details>

<details>
<summary><b>Install in Claude Code</b></summary>

  **Requirements:**
- Claude Pro account (or higher tier)
  
See [Claude Code MCP docs](https://docs.anthropic.com/en/docs/claude-code/mcp) for more information.

Run one of the following commands, depending on whether you’re connecting remotely or running the server locally.

#### Claude Code Remote Server Connection

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

#### Claude Code Local Server Connection

First, install `uv` (a [modern Python package](https://docs.astral.sh/uv/) and project manager):

Then run:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

Run `claude` in your terminal from your project directory.

Then connect with:

</details>


<details>
<summary><b>Install in VS Code (Visual Studio Code)</b></summary>

See [VS Code MCP docs](https://code.visualstudio.com/docs/copilot/chat/mcp-servers) for more info.

Create `.vscode/mcp.json` (your VS Code MCP config file) in your workspace, and paste into it one of the following configurations, depending on whether you’re connecting remotely or running the server locally.

#### VS Code Remote Server Connection

Paste the following into `.vscode/mcp.json`:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

#### VS Code Local Server Connection

First, install `uv` (a [modern Python package](https://docs.astral.sh/uv/) and project manager):

Then, paste the following into `.vscode/mcp.json`:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

Open the Chat view and select Agent mode

</details>

<details>
  
<summary><b>Install in Continue (Extension for VS Code, JetBrains)</b></summary>

See [Continue MCP docs](https://docs.continue.dev/customize/deep-dives/mcp) for more information. Continue uses its own configuration format (not VS Code's mcp.json).

Create `.continue/mcpServers/alphavantage.yaml` in your workspace, and paste into it one of the following configurations, depending on whether you’re connecting remotely or running the server locally. (Recommended: Remote)

#### Continue Remote Server Connection

Paste the following into `.continue/mcpServers/alphavantage.yaml`:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

#### Continue Local Server Connection

First, install `uv` (a [modern Python package](https://docs.astral.sh/uv/) and project manager):

Then, paste the following into `.continue/mcpServers/alphavantage.yaml`:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

Open the Continue panel and select Agent mode. Set up your LLM provider.
</details>

<details>
<summary><b>Install in Cursor</b></summary>

See [Cursor MCP docs](https://docs.cursor.com/context/model-context-protocol) for more information.

Paste one of the following configurations into your Cursor `~/.cursor/mcp.json` file, depending on whether you’re connecting remotely or running the server locally. You may also install in a specific project by creating `.cursor/mcp.json` in your project folder. 

#### Cursor Remote Server Connection

Configure Cursor by editing `~/.cursor/mcp.json`:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

#### Cursor Local Server Connection

First, install `uv` (a [modern Python package](https://docs.astral.sh/uv/) and project manager):

Then, paste the following into your Cursor `~/.cursor/mcp.json` file:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

</details>


<details>
<summary><b>Install in Gemini CLI</b></summary>

See [Gemini CLI Configuration](https://google-gemini.github.io/gemini-cli/docs/tools/mcp-server.html) for more information.

Run one of the following commands, depending on whether you’re connecting remotely or running the server locally.

**Gemini CLI Remote Server Connection (Recommended):**

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

**Gemini CLI Local Server Connection:**

Install `uv` (a [modern Python package](https://docs.astral.sh/uv/) and project manager):

Then run:

Replace `YOUR_API_KEY` with your actual Alpha Vantage API key.

**Manual Configuration:**
1. Open the Gemini CLI settings file. The location is `~/.gemini/settings.json` (where `~` is your home directory).
2. Add the following to the `mcpServers` object in your `settings.json` file (replace `YOUR_API_KEY` with your actual Alpha Vantage API key):

Or, for a local server (replace `YOUR_API_KEY` with your actual Alpha Vantage API key):

If the mcpServers object does not exist, create it.

</details>

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💡💡 I'm just exploring

Just exploring what to build? Check out the Trading Agents stock research tool (#1 trending on Github), which is powered by Alpha Vantage market data with no setup required.

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Quickstart

To use the server, <a href="https://www.alphavantage.co/support/#api-key" onclick="gtag('event', 'mcp_getKey')">get your free Alpha Vantage API key</a>, copy it to your clipboard, then follow the instructions below for the agentic tool/platform of your interest.

⚡ We use an optimization technique called Progressive Tool Discovery to minimize the number of tokens consumed (hence the cost incurred) while preserving the superb response quality when the MCP server is invoked. You can learn more about this technique here

⭐ View MCP source code on Github

👉 Any questions? Please contact support@alphavantage.co

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Connection Examples

Remote Server Connection:

https://mcp.alphavantage.co/mcp?apikey=YOUR_API_KEY

Local Server Connection:

uvx marketdata-mcp-server YOUR_API_KEY

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Examples

Below are four example prompts and Claude's expected responses when using the MCP server.

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OPTIONS_DATA_APIS

Tools Reference

Note: The tools listed below are accessed through the MCP server's TOOL_CALL wrapper function.

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CORE_STOCK_APIS

4. Compare performance across asset classes

Prompt: “Compare gold, silver, and Bitcoin performance over the past 5 years”

Expected Behavior: - Claude will use progressive discovery to find and invoke the correct tools, in this case the TIME_SERIES_MONTHLY function and the DIGITAL_CURRENCY_MONTHLY function. - Claude will make three separate requests, one to the TIME_SERIES_INTRADAY function using the GLD symbol, one to the TIME_SERIES_INTRADAY function using the SLV symbol, and one to the DIGITAL_CURRENCY_MONTHLY function using the BTC symbol. Claude will receive the relevant responses. - Claude will do any necessary calculations on top of the returned data, and create an HTML artifact:

<img width="770" height="756" alt="Commodity_price" src="https://github.com/user-attachments/assets/953c5bcb-1b30-4880-a78b-7bc2ae3a8a70" />

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