MCP Security Risks and Mitigations

By My Ultimate Guide For Everything |  May 10, 2025  | mcp, llm, security-risk, prompt-injection, token-theft, server-compromise, rug-pool, tool-shadowing, tool-poisoning, consent-fatigue
Understanding Model Context Protocol (MCP) Security Risks in LLM Systems As large language models (LLMs) evolve to support more powerful and context-aware applications, new paradigms like the Model Context Protocol (MCP) have emerged. MCP offers a structured way to organize the inputs provided to an LLM, typically encompassing task instructions, memory state, tool documentation, user profiles, historical conversation context, and more. While this protocol enhances the power and usability of LLM-driven systems, it also introduces critical security risks that must be mitigated to ensure user safety and system integrity.
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Fix Cursor AI Autocomplete Clutter

By My Ultimate Guide For Everything |  Apr 28, 2025  | cursor-ai, autocomplete-clutter, gen-ai, auto-code-generation
How to Handle or Fix “Autocomplete Clutter” When Working With Cursor AI Autocomplete is one of Cursor AI’s most powerful features — but it can also be one of the most distracting. When suggestions pop up too often, too eagerly, or too irrelevantly, they can clutter your workspace and slow you down instead of speeding you up. In this blog post, we’ll dive deep into what “autocomplete clutter” is, why it happens, and how to effectively manage it while working with Cursor AI.
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Integrate GitHub Copilot in Visual Studio Code

By My Ultimate Guide For Everything |  Apr 20, 2025  | github, copilot, visual-studio-code, vs-code, copilot-not-suggeting-code, copilot-chat-not-working
Integrating GitHub Copilot in Visual Studio Code: A Comprehensive Guide Published on April 20, 2025 Introduction In the evolving landscape of software development, AI-powered tools are becoming indispensable. GitHub Copilot, developed by GitHub and OpenAI, is at the forefront of this revolution, offering developers an AI pair programmer that suggests code snippets, functions, and even entire modules in real-time. Integrating GitHub Copilot into Visual Studio Code (VS Code) can significantly enhance your coding efficiency.
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Quantum Resistant Encryption

The Quantum Threat to RSA: And What Comes Next In the world of digital security, few acronyms carry as much weight as RSA. Since its creation in 1977, RSA encryption has served as a foundational technology for securing emails, digital signatures, online banking, and virtually every corner of our digital lives. It is based on a beautiful and elegant idea: multiplying two very large prime numbers is easy, but factoring their product is extremely hard.
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Solve Too Many Tokens in Streamlit-Based MCP Servers

By My Ultimate Guide For Everything |  Apr 11, 2025  | mcp, mcp-server, mcp-client, streamlit, fastapi, too-many-tokens, token-limit, context-window, open-ai, claude
Solving “Too Many Tokens” in Streamlit-Based MCP Servers: A Deep Dive When you’re building a Model Context Protocol (MCP) server using Streamlit, you may encounter the notorious error: “Too many tokens”. This occurs when the input passed to a large language model (LLM) exceeds the maximum token limit allowed by the API (e.g., OpenAI’s GPT-4, Claude, etc.). It’s a common bottleneck in systems that continuously build up context over time.
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Host MCP Client or Server Using Streamlit

By My Ultimate Guide For Everything |  Apr 9, 2025  | mcp, mcp-server, mcp-client, streamlit, fastapi
Hosting a Model Context Protocol (MCP) Client or Server with Streamlit As large language models (LLMs) continue to evolve, so too does the need for managing context efficiently and modularly. The Model Context Protocol (MCP) is emerging as a framework for managing, exchanging, and interpreting the context in which a model operates. Whether you’re building applications that use Retrieval-Augmented Generation (RAG), integrating long-term memory, or developing interactive agents, a well-defined MCP architecture can make your system more scalable and interpretable.
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Why Understanding the Signals in a Tech Interview Matters

Why Understanding the Signals in a Tech Interview Matters Tech interviews can be a mystery. You walk out of a meeting feeling like you nailed every question, only to receive a rejection email days later. What happened? If you’ve ever been in this situation, you’re not alone. Many candidates believe that answering questions correctly is all that matters, but interviewers are actually evaluating much more than just your ability to solve coding problems.
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Efficient Data Handling in Streamlit

By My Ultimate Guide For Everything |  Mar 26, 2025  | streamlit, ag-grid, polars, efficient-data-processing
This post is the second part of the Master Large Datasets for Peak Performance in Streamlit post. Efficient Data Handling in Streamlit: Optimizing Back-End Processing and UI Rendering Streamlit is a powerful framework for building interactive data apps with minimal code. However, efficiently handling large datasets remains a challenge. Without the right tools, your app can become sluggish due to excessive memory usage and slow UI rendering. This blog post covers two essential aspects of efficient data handling in Streamlit:
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Deploy Streamlit App to Cloud

By My Ultimate Guide For Everything |  Mar 15, 2025  | streamlit-app, aws, azure, gcp, google-cloud
Deploying a Streamlit App on AWS, GCP, and Azure Streamlit makes it easy to build interactive web applications in Python, but deploying them to a cloud platform like AWS, GCP, or Azure requires some setup. In this guide, we’ll cover how to deploy your Streamlit app on each of these cloud providers and discuss best practices for performance, security, and cost optimization. 1. Deploying on AWS (Amazon Web Services) AWS provides multiple options for deploying a Streamlit app, including EC2, Elastic Beanstalk, and AWS Lambda with API Gateway.
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Add Authentication to Streamlit Apps

By My Ultimate Guide For Everything |  Mar 12, 2025  | streamlit, user-authentication, streamlit_authenticator, aws-amplify
Secure Your Streamlit Apps: Implementing User Authentication Streamlit empowers you to build powerful data applications quickly. But what if you need to restrict access to sensitive data or features? User authentication is the answer. This post will guide you through two popular methods for adding user authentication to your Streamlit applications: streamlit_authenticator and AWS Amplify. Why User Authentication Matters in Streamlit User authentication adds a crucial layer of security, ensuring that only authorized users can access your application.
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