https://github.com/ferdousbhai/investor-agent
A Model Context Protocol server for building an investor agent
https://github.com/ferdousbhai/investor-agent
Last synced: about 1 month ago
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A Model Context Protocol server for building an investor agent
- Host: GitHub
- URL: https://github.com/ferdousbhai/investor-agent
- Owner: ferdousbhai
- License: mit
- Created: 2025-02-21T06:20:12.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-02-21T06:54:15.000Z (2 months ago)
- Last Synced: 2025-02-21T07:32:25.159Z (2 months ago)
- Language: Python
- Size: 64.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# investor-agent: A Financial Analysis MCP Server
## Overview
The **investor-agent** is a Model Context Protocol (MCP) server that provides comprehensive financial insights and analysis to Large Language Models. It leverages real-time market data, news, and advanced analytics to help users obtain:
- Detailed ticker reports including company overview, news, key metrics, performance, dates, analyst recommendations, and upgrades/downgrades.
- Options data highlighting high open interest.
- Historical price trends for stocks.
- Essential financial statements (income, balance sheet, cash flow) formatted in millions USD.
- Up-to-date institutional ownership and mutual fund holdings.
- Earnings history and insider trading activity.
The server integrates with [yfinance](https://pypi.org/project/yfinance/) for market data retrieval and [BraveSearch](https://pypi.org/project/brave-search-python-client/) for search capabilities.
## Prerequisites
- **Python:** 3.12 or higher
- **Package Manager:** [uv](https://docs.astral.sh/uv/)
## Installation
First, install **uv** if you haven't already:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
Then, you can run the **investor-agent** MCP server using `uvx`:
```bash
uvx investor-agent
```
## Tools
The **investor-agent** server comes with several tools to support financial analysis:
### Ticker Information
1. **`get_ticker_data`**
- **Description:** Retrieves a comprehensive report for a given ticker symbol, including company overview, news, key metrics, performance, dates, analyst recommendations, and upgrades/downgrades.
- **Input:**
- `ticker` (string): Stock ticker symbol (e.g., `"AAPL"`).
- **Return:** A formatted multi-section report.
2. **`get_available_options`**
- **Description:** Provides a list of stock options with the highest open interest.
- **Inputs:**
- `ticker_symbol` (string): Stock ticker symbol.
- `num_options` (int, optional): Number of options to return (default: 10).
- `start_date` & `end_date` (string, optional): Date range in `YYYY-MM-DD` format.
- `strike_lower` & `strike_upper` (float, optional): Desired strike price range.
- `option_type` (string, optional): Option type (`"C"` for calls, `"P"` for puts).
- **Return:** A formatted table of options data.
3. **`get_price_history`**
- **Description:** Retrieves historical price data for a specific ticker.
- **Inputs:**
- `ticker` (string): Stock ticker symbol.
- `period` (string): Time period (choose from `"1d"`, `"5d"`, `"1mo"`, `"3mo"`, `"6mo"`, `"1y"`, `"2y"`, `"5y"`, `"10y"`, `"ytd"`, `"max"`).
- **Return:** A table showing price history.
### Financial Data Tools
1. **`get_financial_statements`**
- **Description:** Fetches financial statements (income, balance, or cash flow) formatted in millions USD.
- **Inputs:**
- `ticker` (string): Stock ticker symbol.
- `statement_type` (string): `"income"`, `"balance"`, or `"cash"`.
- `frequency` (string): `"quarterly"` or `"annual"`.
- **Return:** A formatted financial statement.
2. **`get_institutional_holders`**
- **Description:** Retrieves details about major institutional and mutual fund holders.
- **Input:**
- `ticker` (string): Stock ticker symbol.
- **Return:** Two formatted tables listing institutional and mutual fund holders.
3. **`get_earnings_history`**
- **Description:** Retrieves a formatted table of earnings history.
- **Input:**
- `ticker` (string): Stock ticker symbol.
- **Return:** A table displaying historical earnings data.
4. **`get_insider_trades`**
- **Description:** Fetches the recent insider trading activity for a given ticker.
- **Input:**
- `ticker` (string): Stock ticker symbol.
- **Return:** A formatted table showing insider trades.
## Usage with MCP Clients
To integrate **investor-agent** with an MCP client (for example, Claude Desktop), add the following configuration to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"investor": {
"command": "path/to/uvx/command/uvx",
"args": ["investor-agent"],
"env": {
"BRAVE_SEARCH_API_KEY": "your_brave_search_api_key_here"
}
}
}
}
```
## Debugging
You can leverage the MCP inspector to debug the server:
```bash
npx @modelcontextprotocol/inspector uvx investor-agent
```
For log monitoring, check the following directories:
- macOS: `~/Library/Logs/Claude/mcp*.log`
- Windows: `%APPDATA%\Claude\logs\mcp*.log`
## Development
For local development and testing:
1. Use the MCP inspector as described in the [Debugging](#debugging) section.
2. Test using Claude Desktop with this configuration:
```json
{
"mcpServers": {
"investor": {
"command": "path/to/uv/command/uv",
"args": ["--directory", "path/to/investor-agent", "run", "investor-agent"],
}
}
}
```
## License
This MCP server is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.