ContextBase (MCP Server)

@imfeniljikadara

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Basic information

About ContextBase

A mcp server for storing and managing user context for ai apps via api

ContextBase config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

ContextBase tools

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Overview

What is ContextBase (MCP Server)?

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.

How to use ContextBase (MCP Server)?

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.

Key features of ContextBase (MCP Server)

Secure user authentication using JWT and bcrypt
API endpoints for storing and retrieving memory data
Comprehensive logging of user actions
PostgreSQL for persistent storage
Redis for high-performance caching
Modern tech stack: TypeScript, Fastify, Prisma ORM

Use cases of ContextBase (MCP Server)

AI assistants maintaining per-user conversation history
Applications storing user-specific context across sessions
Managing and retrieving user memories via a RESTful API
Auditing user actions with a built-in logging system

Frequently asked questions

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.

How does authentication work?

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.

What data can be stored and retrieved?

Memory objects can be created, read, updated, and deleted via REST endpoints (`/api/memory`). Logs of user actions are accessible at `/api/logs`.

Where is data persisted?

Per-user context is stored in PostgreSQL; Redis is used as a caching layer for performance.

What transport protocol does the server use?

The server exposes a REST API over HTTP, listening on a configurable port (default 3000). No WebSocket or other transports are mentioned.

Comments

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