InvestPal 2.0: Brokerage Integrations, Agent Memory, and Proactive Reminders 8 minute read

A few months ago I wrote about InvestPal — an AI-powered investment advisor built on top of the Model Context Protocol. The core idea was simple: wrap financial data sources in MCP tools and let an LLM agent use them to answer investment questions with real market data.

Since then the system has grown in ways that are worth writing about separately. This post covers three significant engineering additions:

  1. Brokerage integrations via two new MCP servers (Alpaca Markets and Coinbase)
  2. A dual-agent architecture where a second agent manages long-term user memory in the background
  3. An agent-driven reminder system with proactive Telegram... read more
InvestPal: AI-Powered Investment Advisory Platform 4 minute read

InvestPal is a comprehensive AI-powered investment advisory ecosystem that delivers personalized financial insights and market intelligence through multiple channels. The platform combines cutting-edge artificial intelligence with real-time market data to provide users with professional-grade investment advice accessible through both web services and messaging platforms.

The InvestPal ecosystem provides three different layers of products:

  1. MCP Server - Exposes investing data tools that can be used in various agent user interfaces like Claude Desktop
  2. Investor Assistant/Advisor API - A service that provides AI-powered investment advisory capabilities
  3. Telegram Bot - A conversational interface (@ai_investor_advisor_bot) for on-the-go investment queries

System Architecture

Product... read more

AI Investor Assistant API 16 minute read

AI Investor Assistant API

🌟 Overview

The AI Investor Assistant API is a plug-and-play backend that empowers any financial product—be it an investment app, trading platform, portfolio tracker, or finance education tool—to offer intelligent, personalized investor guidance via natural language chat.

Key Benefits

  • 🚀 Plug-and-Play AI Assistant – No need to build AI models or pipelines; simply integrate and provide immediate value.
  • 🧠 Personalized Investor Insights – Responses can be tailored based on user context, such as portfolio composition, risk profile, and interests.
  • 🤖 Advanced AI Models – Behind the scenes, the service leverages OpenAI and Google Gemini (configurable per... read more