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
基本情報
A mcp server for storing and managing user context for ai apps via api
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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