
ContextBase (MCP Server)
A mcp server for storing and managing user context for ai apps via api
what is ContextBase?
ContextBase is a Model Context Protocol (MCP) server designed for AI agents, assistants, and applications to store, retrieve, and manage user-specific context through a simple API.
how to use ContextBase?
To use ContextBase, clone the repository, install dependencies, set up environment variables, run database migrations, and start the server. You can interact with the API endpoints for authentication and memory management.
key features of ContextBase?
- Secure user authentication using JWT and bcrypt
- API endpoints for memory management
- Comprehensive logging of user actions
- Built with TypeScript, Fastify, and Prisma ORM
- PostgreSQL for persistent storage and Redis for caching
use cases of ContextBase?
- Storing user preferences for personalized AI interactions
- Managing user context for AI-driven applications
- Logging user actions for analytics and debugging
FAQ from ContextBase?
- What technologies does ContextBase use?
ContextBase is built with TypeScript, Fastify, and uses PostgreSQL and Redis for data management.
- Is ContextBase suitable for production use?
Yes, ContextBase is designed for production environments with secure authentication and efficient memory management.
- How can I contribute to ContextBase?
You can contribute by submitting issues or pull requests on the GitHub repository.
ContextBase (MCP Server)
ContextBase – A Model Context Protocol (MCP) server for AI agents, assistants, and apps which store, retrieve, and manage per-user context using a simple API.
Features
- Authentication System: Secure user authentication using JWT and bcrypt
- Memory Management: API endpoints for storing and retrieving memory data
- Logging System: Comprehensive logging of user actions
- Modern Tech Stack: Built with TypeScript, Fastify, Prisma ORM
- Database Integration: PostgreSQL for persistent storage
- Caching: Redis for high-performance caching
Prerequisites
- Node.js (v14 or higher)
- PostgreSQL
- Redis
- Docker and Docker Compose (optional, for containerized deployment)
Installation
-
Clone the repository
git clone https://github.com/imfeniljikadara/contextbase.git cd mcp
-
Install dependencies
cd mcp-server npm install
-
Set up environment variables Create a
.env
file in themcp-server
directory with the following variables:DATABASE_URL=postgresql://username:password@localhost:5432/mcp REDIS_HOST=localhost REDIS_PORT=6379 JWT_SECRET=your_jwt_secret PORT=3000
-
Run database migrations
npx prisma migrate dev
-
Start the server
npm start
Or using Docker:
docker-compose up
API Endpoints
-
Authentication
POST /api/auth/register
- Register a new userPOST /api/auth/login
- Login and get JWT token
-
Memory
GET /api/memory
- Get all memoriesPOST /api/memory
- Create a new memoryGET /api/memory/:id
- Get a specific memoryPUT /api/memory/:id
- Update a memoryDELETE /api/memory/:id
- Delete a memory
-
Logs
GET /api/logs
- Get user action logs
Development
-
Run in development mode:
npm run dev
-
Run tests:
npm test
Project Structure
mcp-server/
├── prisma/ # Database schema and migrations
├── src/
│ ├── api/ # API routes and controllers
│ ├── config/ # Configuration files
│ ├── db/ # Database connections (PostgreSQL, Redis)
│ ├── middleware/ # Custom middleware
│ ├── models/ # Data models
│ ├── services/ # Business logic
│ ├── utils/ # Utility functions
│ └── index.ts # Application entry point
├── scripts/ # Helper scripts
├── .env # Environment variables
└── package.json # Dependencies and scripts
License
MIT