ServiceBricks

You can access ServiceBricks MCP Server at a hosted endpoint to manage data sources and actions across microservices using standardized REST APIs. This MCP server provides scalable patterns, governance, and AI-assisted service generation to help you build and evolve distributed systems with ease.

How to use

You will interact with the MCP server through a client that can make RESTful requests. Start by connecting to the MCP URL to discover available services, then perform standard data operations such as creating, querying, updating, and deleting resources using the provided REST APIs. You can leverage built-in patterns like domain-driven design, event-driven workflows, and business rule logic to customize how your services handle data and events. For production-grade usage, explore generating services with AI capabilities, evolve data models over time, and manage access with the included security features. Use service endpoints to broadcast or consume events via the service bus engine and to perform background tasks with the platform’s processing facilities.

To start, point your REST client at the MCP URL: https://servicebricks.com/api/mcp. From there you can list available resources, read documentation for each service, and begin interacting with your data through standard CRUD+PQV methods. If your workflow requires authentication, follow the security patterns implemented by the platform to obtain and use a JWT bearer token for multi-server deployments.

How to install

Note that this MCP server is hosted publicly. You do not install the server locally; you connect to the hosted endpoint and use a REST client or SDK to interact with it. Prerequisites are minimal and centered on client-side access rather than server installation.

Prerequisites you may need before starting your integration:

• A modern web browser or HTTP-like client to explore APIs.

Available tools

Artificial Intelligence Integration

Leverage large language models to generate, query, and manipulate microservice data, enabling AI-assisted service creation and evolution.

Generics Code Generation

Extensive use of generics to automate generation of core source code for services.

REST API Services

Templated, repository-based services that expose standard CRUD+PQV methods or customizable APIs.

ServiceQuery Integration

Polyglot, dynamic data querying across multiple database engines.

Business Rule Engine

Polymorphic techniques to build reusable business logic and enforce rules.

DDD & EDA

Domain-Driven Design and Event-Driven Architecture for customized business logic.

Background Processing

Asynchronous tasks and rules processing to support long-running workflows.

Database Compatibility

Supports relational, document, cloud, and embedded databases with broad compatibility.

Service Bus Engine

Broadcasts system data with InMemory and Azure Service Bus integrations.

REST Design Modes

Choose between Classic or Modern REST API design with multiple response formats.

Testing Framework

Comprehensive tests and QA tooling to ensure reliability of services.

Open Source

All referenced assemblies are MIT-licensed or under equivalent open licenses.