imfeniljikadara
MCP Serverimfeniljikadarapublic

projects

A repository showcases my projects

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About This Server

A repository showcases my projects

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Fenil Jikadara - Projects Portfolio

Welcome to my projects portfolio! This repository contains links and information about various projects I've developed, ranging from AI-powered applications to developer tools and browser extensions.

Projects

Nexus.ai ⌘

Intelligent Document Analysis and Chat Platform

Nexus.ai enables users to have natural conversations with their PDF documents using advanced AI. The application leverages Google's Gemini 1.5 Flash model for intelligent responses, providing context-aware understanding of document content.

  • Key Features: PDF analysis, AI-powered chat, document annotation, form field support
  • Tech Stack: Next.js, TypeScript, Tailwind CSS, FastAPI, Python, Google Gemini 1.5 Flash, ChromaDB, LangChain
  • Links:
    • GitHub Repository
    • Live Product

Figure ⌘

VS Code Extension for Creating Diagrams

Figure is a powerful VSCode extension that integrates Excalidraw, allowing users to create beautiful diagrams and sketches directly within the VSCode editor.

  • Key Features: Seamless drawing experience, saving/loading diagrams, theme synchronization with VSCode
  • Tech Stack: TypeScript, VSCode Extension API, React, Excalidraw, HTML/CSS, Node.js
  • Links:
    • GitHub Repository
    • VS Code Marketplace

Quiz AI ⌘

Chrome Extension for AI-Generated Quizzes

Quiz AI is a Chrome extension that generates interactive quizzes from any webpage content using artificial intelligence. It extracts content from the current webpage and uses Google's Gemini 1.5 Pro API to generate quizzes based on user preferences.

  • Key Features: Content extraction, AI quiz generation, customizable quiz parameters, interactive quiz interface
  • Tech Stack: JavaScript, Chrome Extension API, HTML/CSS, Tailwind CSS, Google Gemini API, JSON
  • Links:
    • GitHub Repository

ContextBase Ecosystem

A comprehensive ecosystem for managing per-user context for AI applications, consisting of multiple components:

ContextBase Server ⌘

Model Context Protocol (MCP) Server

ContextBase is designed to store, retrieve, and manage per-user context for AI applications. It provides a simple API for AI agents and assistants to maintain user-specific context across interactions.

  • Key Features:
    • Authentication System: Secure user authentication using JWT tokens and bcrypt password hashing
    • Memory Management: Efficient storage and retrieval of context data
    • Logging System: Comprehensive logging of user actions
    • Modern Tech Stack: Built with cutting-edge technologies
    • Database Integration: PostgreSQL for reliable, persistent storage
    • Caching: Redis for lightning-fast in-memory caching
  • Tech Stack: TypeScript, Node.js, Fastify, Prisma ORM, PostgreSQL, Redis, JWT, Docker, Zod
  • Links:
    • GitHub Repository
    • Live Server

ContextBase TypeScript SDK ⌘

TypeScript Client Library for ContextBase

A client library that provides a simple and intuitive interface for interacting with the ContextBase MCP API in TypeScript applications.

  • Key Features: Authentication, key-value operations, semantic search functionality
  • Tech Stack: TypeScript, Axios, Node.js, REST API, JSON, npm
  • Installation: npm install contextbase-ts
  • Links:
    • GitHub Repository
    • NPM Package

ContextBase Python SDK ⌘

Python Client Library for ContextBase

A client library that provides a simple and intuitive interface for interacting with the ContextBase MCP API in Python applications.

  • Key Features: Authentication, key-value operations, semantic search functionality
  • Tech Stack: Python, Requests, REST API, JSON, PyPI
  • Installation: pip install contextbase-py
  • Links:
    • GitHub Repository
    • PyPI Package

ContextBase CLI ⌘

Command Line Interface for ContextBase

A command-line tool that provides a simple and efficient way to interact with the ContextBase MCP API directly from the terminal.

  • Key Features: Terminal-based interface, straightforward commands, global installation
  • Tech Stack: TypeScript, Node.js, Commander.js, Axios, Conf, npm
  • Installation: npm install -g contextbase-cli
  • Links:
    • GitHub Repository
    • NPM Package

Last Updated: 04 July, 2025

Quick Start

1

Clone the repository

git clone https://github.com/imfeniljikadara/projects
2

Install dependencies

cd projects
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerimfeniljikadara
Repoprojects
LanguageHTML
License-
Last fetched8/10/2025

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