Portfolio Tracker MCP Server
Enables AI clients to track investment portfolios by retrieving positions, calculating profit and loss, and refreshing price data via Yahoo Finance. It allows users to monitor overall performance and query specific ticker details through natural language interactions.
README
Portfolio Tracker MCP Server
A Model Context Protocol (MCP) server that exposes portfolio tracking tools for AI clients.
Features
- Get Portfolio Positions: Retrieve all current positions
- Get Portfolio P&L: Calculate profit/loss with optional price refresh
- Refresh Portfolio Data: Force refresh of all price data from Yahoo Finance
- Get Position Details: Get specific position information
Setup
- Install dependencies:
npm install
- Build the project:
npm run build
- Start the server:
npm start
Development
For development with auto-reload:
npm run dev
MCP Client Configuration
Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"portfolio-tracker": {
"command": "node",
"args": ["/Users/goul/Development/portfolio-tracker-mcp-server/build/index.js"],
"env": {
"PORTFOLIO_API_URL": "http://localhost:3000"
}
}
}
}
Environment Variables
PORTFOLIO_API_URL: Base URL for the portfolio tracker API (default: http://localhost:3000)DEBUG: Set to "true" for verbose logging
Available Tools
-
get_portfolio_positions
- Get all current portfolio positions
- No parameters required
-
get_portfolio_pnl
- Get profit/loss analysis
- Parameters:
refresh(boolean, optional) - force refresh prices
-
refresh_portfolio_data
- Force refresh all price data
- No parameters required
-
get_position_details
- Get details for specific positions
- Parameters:
tickers(string array) - specific tickers to query
Usage Examples
Once connected to an AI client, you can ask:
- "What's my current portfolio performance?"
- "Show me my positions"
- "Refresh my portfolio data and show the P&L"
- "How is my NVDA position performing?"
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.