It is foreseeable that various types of MCP servers will emerge and expand rapidly, alongside CLI tools that facilitate their discovery and management. Noteworthy companies, such as Heroku, are advancing swiftly in this domain, and I intend to explore Heroku's MCP server as a case study, in conjunction with the official documentation published by Anthropic, … Continue reading Fast Growing MCP Community

Index level calculation handles various corporate actions explicitly by leveraging the Divisor Mechanism 1. Historical Continuity The primary purpose of the divisor is to maintain continuity in the index value when changes occur that shouldn't affect the economic value of the index, such as: Stock splits Constituent changes Corporate actions (mergers, spinoffs) 2. How the … Continue reading Building a Complex Functional App Is Easy in Our AI Era 03

Using this comprehensive and systematic approach gives us a great chance to move away from the old Excel and screen methods we've been using. This change not only offers a fresh start but also allows for better efficiency and teamwork. Just think about how much easier our tasks can be when we use modern tools … Continue reading Building a Complex Functional App Is Easy in Our AI Era 02

Strong individuals will increasingly gain power as they take on projects that previously required hundreds or thousands of engineers, now made feasible with the assistance of AI tools. This blog will be about Dash framework of plotly and the next about the structure of portfolio and calculation py files. Plotly is a powerful data visualization … Continue reading Building a Complex Functional App Is Easy in Our AI Era 01

Leave all the heavy-lifting to AI but we need to know how it is designed and structured. For example in this portfolio_analysis_display module, The configuration system was designed with these considerations: Security: Sensitive values like API keys can be provided via environment variables instead of being committed to code Separation of concerns: Configuration is completely … Continue reading Config and Logger

A structured approach to learning topology, organized from foundational concepts to more advanced topics: 1. Prerequisites Set Theory: Understand sets, functions, relations, and cardinality Real Analysis: Familiarity with continuity, convergence, and metric spaces Linear Algebra: Vector spaces and linear transformations 2. Foundational Concepts Metric Spaces Definition and examples Open and closed sets Convergence and completeness … Continue reading Structured Approach to Learning Topology

In this era of artificial intelligence, the traditional methods of learning require reevaluation. While some individuals may possess the patience to engage with exhaustive tutorials or documentation, such approaches are often time-consuming and may still result in a lack of capability to effectively resolve issues. When acquiring new skills, particularly in fields do not require … Continue reading Effective Method to Learn New Skills

Hypothetically, if your goal is of building a client-facing multi-agent platform using MCP servers to assist with various workflows, I'll design a comprehensive architecture that's both scalable and customizable for different client needs. 1. Core Architecture Components Client-Facing Layer Workflow Designer: Visual interface for clients to design custom workflows Agent Marketplace: Library of pre-configured agents … Continue reading Multi-Agent Workflow Automation Platform: Architecture Design

There is a growing number of AI frameworks integrated with MCP servers that enable the creation of multiple agents, effectively striving to establish an agent-dedicated workflow with minimal human involvement. I researched OpenManus and now would look into MCP-Agent created by lastmile-AI. The github was cited in the previous blog. The agent.py is import asyncio … Continue reading Framework of MCP-Agent by Lastmile-AI

I heard this from AI Engineer talk about MCP, and traced to the lastmile-ai github:, it provides a framework to Build effective agents with Model Context Protocol using simple, composable patterns. The doc is well written, so I just cited most content direclty: "Why use mcp-agent? There are too many AI frameworks out there already. But mcp-agent is … Continue reading Building Effective Agents with MCP