What runtime and dependencies are required?
Node.js v14 or higher, PostgreSQL, and Redis are required. Docker and Docker Compose can be used for containerized deployment.
@imfeniljikadara
基本信息
A mcp server for storing and managing user context for ai apps via api
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
ContextBase (MCP Server) is a Model Context Protocol server for AI agents, assistants, and applications. It stores, retrieves, and manages per-user context using a simple API, built with TypeScript, Fastify, Prisma ORM, PostgreSQL, and Redis.
Install Node.js v14+, PostgreSQL, and Redis. Clone the repository, install dependencies, configure environment variables (DATABASE_URL, REDIS_HOST, REDIS_PORT, JWT_SECRET, PORT), run database migrations with npx prisma migrate dev, then start the server with npm start or docker-compose up. Use the provided REST API endpoints (e.g., POST /api/auth/register, POST /api/memory) to register users, login, and manage memory objects.
Node.js v14 or higher, PostgreSQL, and Redis are required. Docker and Docker Compose can be used for containerized deployment.
The server uses JWT and bcrypt. Users can register via `POST /api/auth/register` and login via `POST /api/auth/login` to obtain a token.
Memory objects can be created, read, updated, and deleted via REST endpoints (`/api/memory`). Logs of user actions are accessible at `/api/logs`.
Per-user context is stored in PostgreSQL; Redis is used as a caching layer for performance.
The server exposes a REST API over HTTP, listening on a configurable port (default 3000). No WebSocket or other transports are mentioned.
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