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Rohan Prajapati • Peerlist

Connect AI assistants to Groww's live API using this custom MCP server to run real-time mutual fund filters, manager profiling, risk metrics, and portfolio diagnostics.Story Behind the Project:A few weeks ago, I wanted to do some deep research on mutual funds to find top-performing schemes and compare risk parameters.I tried using Claude to speed up the process, hoping it could analyze different funds and give me quick insights. But relying on standard web searches turned into a frustrating experience. The AI kept hopping from one URL to another, pulling fragmented or outdated data from random financial blogs, and taking forever just to gather basic metrics.I kept thinking, there has to be a better way. Why can't the AI just pull structured, live mutual fund data directly from a single reliable source?Since I already use Groww, looking for their mutual fund API felt like the logical next step. Unfortunately, Groww only provides public APIs for stock trading, not mutual fund data. I searched around for existing MCP tools, but none of them covered Groww mutual funds either.So I decided to build one myself.I opened up Developer Tools, inspected the client-side network traffic while browsing Groww, and mapped out their underlying backend endpoints. Using those live endpoints, I built a custom Model Context Protocol (MCP) server from scratch using FastMCP.Now, my research process is completely transformed. Instead of spending hours browsing financial portals, I can just ask Claude to screen, compare, and analyze any mutual fund on Groww in natural language.Because the MCP server feeds live Groww data directly into Claude, the AI can intelligently screen funds using complex filters, inspect top 10 company holdings, evaluate fund manager track records, check risk metrics like Sharpe, Sortino, Alpha, and Beta, and compare CAGR against benchmark indices in seconds. About ProjectThis project provides an intelligent, professional-grade Model Context Protocol (MCP) server that connects AI assistants like Claude directly to Groww's live API. It enables real-time mutual fund filtering, manager profiling, risk metric analysis, and portfolio diagnostics.When you ask your AI assistant for mutual fund recommendations or analysis, it can autonomously translate your request into filter criteria, query Groww's backend in real-time, and perform deep portfolio analysis to identify the best mutual funds for your needs.Key Capabilities:Direct Live Groww API Data: Fetches real-time, production-grade financial data directly from <a href="https://Groww.Top" target="_blank" rel="noreferrer nofollow">Groww.Top</a> 10 Portfolio Company Holdings: Extracts top invested companies, sector allocation, and corpus <a href="https://percentage.Fund" target="_blank" rel="noreferrer nofollow">percentage.Fund</a> Manager Profiling: Retrieves fund managers' names, educational background, and career experience.Advanced Volatility &amp; Risk Metrics: Evaluates Sharpe Ratio, Sortino Ratio, Alpha, Beta, and Standard Deviation.CAGR &amp; Benchmark Comparison: Compares returns against benchmarks and category averages.Clean LLM Optimization: Prunes raw API JSON responses to save token context while preserving essential analytical data.Filter Capabilities Available to AI:Groww Verdict: TOP_BUY, BUY, HOLD, SELLAsset Categories: Equity, Debt, Hybrid, CommoditiesSub-Categories: Includes various sub-categories for Equity, Debt, Hybrid, and Commodities.Risk Profile: Low, Moderately Low, Moderate, Moderately High, High, Very HighSorting Options: Popularity, Prime Verdict, 1Y Returns, 3Y Returns, 5Y ReturnsAMC / Fund Houses: Supports over 50 fund houses.Index Only: Option to filter for Index Funds only.Installation &amp; Authentication:Clone the repository and configure authentication credentials in <a href="https://auth.py" target="_blank" rel="noreferrer nofollow">auth.py</a> by extracting them from your browser's developer tools after logging into Groww.The server can be registered with Claude Desktop for seamless integration. Configuration details for Windows and macOS are provided.MCP Tools Overview:search_mutual_funds: Screens live mutual fund schemes from Groww based on provided criteria.fetch_mutual_fund_details: Retrieves in-depth holdings, risk metrics, returns, and fund manager profiles using the fund's search_id.Disclaimer: This project is an open-source tool for personal research and analysis and is not affiliated with Groww.License: MIT License.

Realtime Mutual Fund Custom MCP

Creator Studio Pro AI brings AI-powered YouTube optimization directly into YouTube Studio.Optimize titles and descriptions, generate better content, translate subtitles, create chapter timestamps, and improve SEO without leaving YouTube Studio.Features:• Real-time SEO scores for Titles and Descriptions• AI analysis for keywords, readability, hashtags, chapters, CTAs, and social links• One-click AI fixes for weak SEO areas• Fix All option to optimize everything instantly• Compare original and AI-improved content side by side• Generate optimized YouTube descriptions with AI• Auto-generate chapter timestamps• Generate SEO-focused “Topics Covered” sections• AI refinement chat for rewrites and improvements• Translate subtitles into 11+ languages• Export translated subtitles as .SBV files• Preserve subtitle timestamps and formatting• Works with YouTube auto-generated captions• SEO score badges directly on the YouTube Studio Content page• Bulk SEO recalculation for videos• Works with both YouTube videos and Shorts• Seamlessly integrated into YouTube StudioSupported subtitle translation languages:English, Spanish, Hindi, French, German, Japanese, Portuguese, Italian, Chinese, Arabic, and Russian.No external tools. No copy-pasting between websites. No complicated workflows.Creator Studio Pro AI helps creators optimize videos faster, improve discoverability, manage subtitles easily, and streamline publishing directly inside YouTube Studio.

Creator Studio Pro AI for Youtubers

I’m Rohan Prajapati, a passionate Full-Stack Developer, DevOps Engineer, and Security Enthusiast. My portfolio is a reflection of my journey in building scalable, secure, and high-performance applications using modern technologies such as Next.js, React, TailwindCSS, Framer Motion, Docker, AWS, MERN, Laravel, and Flask.This website is more than just a showcase of my projects — it’s a space where I share my learnings and insights with the developer community. Through my blogs, I dive deep into topics like:<ul><li>System design principles for building reliable applications</li><li>Scalability strategies and performance optimization</li><li>DevOps best practices for CI/CD, containerization, and automation</li><li>Practical code snippets and tutorials to speed up development</li></ul>Whether you’re exploring my projects, reading my blogs, or looking to collaborate, this portfolio represents my dedication to engineering solutions that scale and inspire.If you’re interested in software development, DevOps, system design, or security, you’ll find valuable insights and real-world examples here.

Professional Portfolio

Enhance Your Coding Experience with Perplexity on SteroidsUpgrade Perplexity AI with syntax highlighting, quick code navigation, instant copy, and a sleek modal code viewer and more!Boost your Perplexity AI experience with a suite of powerful coding enhancements designed for developers and technical users. This extension transforms how you view and interact with code inside Perplexity, making it faster, cleaner, and more productive.<h3>Key Features:</h3><ul><li>Syntax Highlighting: Read code effortlessly with color-coded formatting for better clarity.</li><li>One Click Navigation: Jump instantly between code blocks for quicker browsing and comparisons.</li><li>Instant Code Copy: Copy entire code blocks with a single click, saving time and avoiding manual selection.</li><li>Modal Code Viewer: View code in a focused, distraction-free modal window.</li><li>Scroll to Bottom Button: Quickly jump to the end of any conversation or code output.</li><li>Clean Code Boxes: Enjoy a sleek, organized layout for improved readability.</li></ul>Product Hunt: <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.producthunt.com/products/perplexity-on-steroids?launch=perplexity-on-steroids">https://www.producthunt.com/products/perplexity-on-steroids?launch=perplexity-on-steroids</a>Whether you’re a developer, student, or tech enthusiast, this extension helps you work faster, stay organized, and get the most out of Perplexity AI. Perfect for developers debugging or reading large code outputs, students learning to code with Perplexity, or anyone who wants a cleaner, more efficient coding environment. Supercharge your productivity and make Perplexity AI work smarter for you. Install now and experience a better way to code!

Perplexity on Steroids - Chrome Extension

<h3>🚀 QuickLaunch – The Ultimate SaaS/PaaS for Instant OS &amp; App Deployment!</h3>QuickLaunch is a powerful SaaS &amp; PaaS that lets you instantly spawn and manage full-fledged operating systems &amp; software apps directly from your web browser! No installs, no hassle—just click &amp; launch.<h3>🌟 Why QuickLaunch?</h3>✅ Create &amp; Manage Multiple Virtual Spaces – Run different OS &amp; apps in fully isolated environments. ✅ Multi-Instance Support – Launch multiple instances of the same OS &amp; apps, each isolated, even on the same session! ✅ Simultaneous Access – Switch between multiple OS &amp; software with ease. ✅ 100% Cloud-Based – No need for local installation—works from anywhere! ✅ Runs on Any Device – Desktops, low-end PCs &amp; even mobile devices. ✅ Powered by KasmVNC – Web-based, seamless, and interactive experience. ✅ One-Click OS &amp; App Deployment – Spawn OS &amp; apps in seconds with just a click. ✅ Cloud OS Experience – Your full OS, accessible anywhere, anytime. ✅ Perfect for Students, Devs &amp; Tech Enthusiasts – Explore, test, and collaborate effortlessly.QuickLaunch brings the future of cloud-based virtual computing to your fingertips—fast, secure, and completely isolated. Try it now &amp; experience SaaS + PaaS-powered OS &amp; app management! 🚀🔥

QuickLaunch - Full Fledged OS & Apps on Web in One Click 🚀

WhatsApp Cab Booking Bot is an intelligent and automated system that enables users to book cabs directly from WhatsApp. Designed with efficiency in mind, it simplifies cab management for both users and owners, making ride booking, confirmation, and tracking effortless.<h3>Why Choose WhatsApp Cab Booking Bot?</h3>✅ No App Installation Required: Users can book cabs directly via WhatsApp—no need for separate apps or logins. ✅ Real-Time Owner Confirmation: Bookings are sent to cab owners, who can confirm or reject them instantly. ✅ Intuitive Booking Process: The bot guides users step-by-step, ensuring a smooth experience. ✅ Dynamic Rate Card Integration: Owners can set up pricing structures for different ride types and times. ✅ Admin Control Panel: Owners can monitor bookings, manage ride status, and set operational preferences. ✅ Scalable &amp; Secure: Designed with Node.js and MySQL, the system ensures data integrity and performance.Key Features<h3>🚘 For Users (Passengers):</h3>🔹 Effortless Ride Booking: Book a cab by answering a few simple questions. 🔹 Flexible Ride Options: Choose between Local or Outstation, Day/Night, and One-Way/Return trips. 🔹 Real-Time Updates: Get immediate responses and booking confirmations. 🔹 Cancellation &amp; Modification: Modify or cancel a ride directly through WhatsApp.<h3>🏢 For Owners (Cab Operators):</h3>🔹 Instant Booking Notifications: Get ride requests via WhatsApp with complete details. 🔹 Easy Ride Management: Accept, cancel, or view all bookings using commands. 🔹 Dynamic Rate Card Setup: Set rates based on time slots, trip type, and extra charges. 🔹 Command-Based Control: Manage rides with simple WhatsApp commands.How It Works?<h3>🚖 User Booking Process</h3>1️⃣ Enter Name → 2️⃣ Select Ride Type (Local/Outstation) → 3️⃣ Choose Day/Night 4️⃣ Select One-Way/Return → 5️⃣ View Rate Card → 6️⃣ Enter Pickup &amp; Drop Details 7️⃣ Set Date &amp; Time → 8️⃣ Confirm Booking → ✅ Receive Confirmation Message<h3>🎟 Owner Confirmation Process</h3>📩 Owner receives a WhatsApp notification with ride details. ✔️ If confirmed, the booking is accepted and the user is notified. ❌ If rejected, the booking is canceled, and the user is informed.Cab Status Tracking📍 PENDING - Booking request is awaiting owner confirmation. 📍 CONFIRMED - Owner has accepted the booking. 📍 CANCELLED - Owner/user has canceled the booking. 📍 COMPLETED - Ride is successfully completed.Final Thoughts🚀 WhatsApp Cab Booking Bot is a game-changer for cab services, providing a seamless, automated, and user-friendly experience for both passengers and cab operators.It eliminates the need for dedicated apps, simplifies ride management, and ensures real-time communication—all through WhatsApp!📌 Start using WhatsApp Cab Booking Bot today and revolutionize the way cabs are booked and managed! 🚖✨

WhatsApp Cab Booking Bot 🚖

Devfolio Project Filter: Discover and Explore Hackathon Projects with EaseDevfolio Project Filter is a powerful Chrome extension designed to help users efficiently browse, filter, and discover hackathon projects on Devfolio. Whether you're looking for inspiration, researching innovative ideas, or just exploring exciting projects, this extension makes the process seamless and intuitive.<h3>Effortless Project Discovery</h3>Navigating through Devfolio’s vast collection of hackathon projects can be time-consuming. With Devfolio Project Filter, you can instantly fetch a list of projects from any hackathon page with just one click. No more endless scrolling—simply open the extension, hit “Fetch,” and explore a neatly organized list of projects.<h3>Advanced Sorting and Filtering</h3>The extension offers smart sorting options to help you find projects based on popularity and engagement. You can:<ul><li>Sort by Views – Arrange projects by the number of views, from most to least or least to most.</li><li>Sort by Likes – Discover top-rated projects by sorting based on likes, ensuring you see the most appreciated ideas first.</li></ul><h3>Quick and Precise Search</h3>Looking for a specific project? The built-in search functionality allows you to find projects by name or keywords, making it easy to filter through thousands of entries and locate the ones that interest you the most.<h3>Seamless User Experience</h3>Designed with simplicity in mind, Devfolio Project Filter integrates effortlessly into your browsing experience. With a clean, user-friendly interface, it enhances your ability to explore projects without distractions, helping you focus on discovering innovative ideas that align with your interests.<h3>Who is it for?</h3><ul><li>Hackathon Enthusiasts – Quickly find and analyze top-performing projects.</li><li>Developers &amp; Innovators – Explore projects for inspiration or collaboration.</li><li>Judges &amp; Mentors – Efficiently browse through submissions to evaluate and compare ideas.</li></ul>With Devfolio Project Filter, exploring hackathon projects has never been easier. Streamline your search, sort intelligently, and discover the best projects effortlessly.

Devfolio Project Filter

Scalable-Website-Screenshot is a high-performance, distributed web application designed to generate full-page screenshots of websites efficiently. It utilizes a microservices-based architecture to handle multiple screenshot requests simultaneously, ensuring real-time updates and effective task distribution.<h3>Overview</h3>The system is built with a combination of modern technologies to enable fast, scalable, and reliable screenshot generation. It leverages a distributed worker model, allowing multiple workers to process tasks in parallel. This ensures that even under high loads, the system remains responsive and delivers screenshots in real-time.<h3>Key Features</h3><ol><li>Scalable Architecture – The application can handle multiple screenshot requests concurrently by distributing the workload across multiple worker processes.</li><li>Real-Time Updates – WebSocket integration ensures that users receive live updates on the status of their screenshot requests.</li><li>Efficient Task Management – RabbitMQ is used as a message broker to manage and distribute tasks to available workers.</li><li>Caching for Performance – Redis caches generated screenshots, significantly reducing processing time for repeated requests.</li><li>Lightweight and Fast Backend – The backend is built using Fastify, ensuring rapid API responses and efficient handling of HTTP requests.</li><li>Parallel Task Processing – Multiple workers can run simultaneously, allowing the system to process screenshots at scale.</li></ol><h3>Technology Stack</h3><ul><li>Frontend: Next.js is used to build the user interface, providing a seamless experience for users requesting screenshots.</li><li>Backend: Fastify serves as the backend framework, offering a fast and lightweight API for handling screenshot requests.</li><li>Message Queue: RabbitMQ is employed to manage task distribution among multiple workers.</li><li>Workers: Workers handle screenshot generation using Puppeteer, ensuring high-quality and full-page captures.</li><li>Caching &amp; Pub/Sub: Redis is used both for caching screenshots and managing real-time updates through its publish-subscribe mechanism.</li><li>WebSockets: Real-time notifications are sent to the frontend to inform users when their screenshots are ready.</li></ul><h3>How It Works</h3><ol><li>User Input: A user enters a website URL on the frontend, which sends the request to the backend.</li><li>Task Queueing: The backend first checks Redis for an existing screenshot. If none is found, the request is added to RabbitMQ.</li><li>Worker Processing: One of the available workers fetches the request from RabbitMQ and uses Puppeteer to generate a screenshot.</li><li>Caching &amp; Notification: The completed screenshot is saved in Redis, and a notification is sent to the frontend via WebSocket.</li><li>Real-Time Update: The frontend receives a WebSocket message once the screenshot is ready and displays the image to the user.</li></ol><h3>Scalability &amp; Performance</h3>The system is designed to scale horizontally. More workers can be added as required to handle increasing request volumes. This ensures optimal performance under heavy loads. Additionally, Redis caching minimizes redundant processing by storing previously generated screenshots for quick retrieval.This architecture makes Scalable-Website-Screenshot an ideal solution for businesses, developers, and researchers who need an efficient and automated way to capture website screenshots at scale.

Scalable Website Screenshot Taker

ScalableChat is a cutting-edge, distributed chat application designed to provide real-time, scalable, and efficient communication. It leverages modern backend and frontend technologies to create a robust and high-performance chat solution capable of handling large volumes of concurrent users.<h3>Technology Stack</h3>ScalableChat integrates a powerful technology stack optimized for real-time communication and scalability:Backend:<ul><li>Express.js serves as the backbone of the API, ensuring efficient request handling and seamless deployment across distributed systems.</li><li><a href="http://Socket.IO" class="break-all link-break text-gray-500 hover:underline text-green-500 rich-link" rel="noopener noreferrer" target="_blank">Socket.IO</a> enables real-time, bidirectional communication, allowing users to experience instant and dynamic chat interactions.</li><li>Redis functions as both a message broker and a caching layer, optimizing performance and reducing latency in message handling.</li><li>Kafka and ZooKeeper work together for distributed event streaming and system coordination, ensuring reliable and scalable message processing.</li><li>MongoDB provides persistent and structured storage for chat messages, maintaining data integrity and availability.</li></ul>Frontend:<ul><li>Svelte Framework powers the user interface, offering a highly responsive and dynamic frontend experience with minimal resource consumption.</li></ul><h3>Key Features</h3><ol><li>Real-Time Communication ScalableChat delivers a seamless messaging experience using <a href="http://Socket.IO" class="break-all link-break text-gray-500 hover:underline text-green-500 rich-link" rel="noopener noreferrer" target="_blank">Socket.IO</a>, which allows real-time, bidirectional data flow between clients and the server. Messages are instantly transmitted, ensuring uninterrupted conversations.</li><li>Scalability By leveraging Redis, Kafka, and ZooKeeper, the application ensures horizontal scalability. Redis accelerates message processing, Kafka efficiently streams events, and ZooKeeper coordinates distributed components for high availability and fault tolerance.</li><li>Message Persistence All chat messages are securely stored in MongoDB, ensuring they are available for retrieval even after long periods. This guarantees data reliability and supports historical chat logs.</li><li>Optimized Caching with Redis ScalableChat uses Redis for caching frequently accessed data, significantly improving response times and reducing backend load. This ensures a high-performance user experience even during peak traffic.</li><li>Efficient Message Processing with Kafka Kafka acts as an intermediary storage layer for chat messages before they are permanently stored in MongoDB. This reduces direct database queries, leading to optimized system performance and a lower risk of database bottlenecks.</li><li>Distributed Architecture Designed to function as a decentralized system, ScalableChat can be deployed across multiple servers. This ensures reliability and resilience, eliminating the risk of a single point of failure.</li><li>Modern Frontend for an Enhanced User Experience The frontend, built with Svelte, provides a smooth and interactive user interface. Its lightweight nature results in faster load times, making the chat application feel fluid and responsive.</li><li>Redis Pub/Sub for Real-Time Updates The application utilizes Redis Pub/Sub for instant message broadcasting, ensuring all connected clients receive updates in real time. This enhances the chat experience by maintaining synchronization across multiple users and devices.</li><li>Seamless Deployment and Extensibility ScalableChat is designed with modular components, allowing for easy deployment and future enhancements. Its integration with popular technologies ensures compatibility with cloud environments and containerized deployments.</li></ol>ScalableChat is more than just a messaging application; it is a highly efficient, distributed chat system built to handle large-scale communication demands. Whether used for private messaging, group chats, or enterprise-level conversations, ScalableChat ensures real-time engagement, scalability, and performance optimization.