mcp-server

Register domain operations as MCP tools using a decorator-based tool registration system. This approach makes it easy to expose specific domain operations to AI agents without manual wiring, accelerating the creation of task-management systems and other domain-exposed tools.

Use the provided architecture patterns to wire a generic server for a specific domain, such as a task-management system. Extend the base patterns, configure your database backend, register a few domain tools, and run the server to quickly satisfy modularity and robust error handling requirements.

Yes, this MCP server pattern works with Python and supports multiple database backends including MongoDB, PostgreSQL, and SQLAlchemy. It provides pluggable backends and async handlers, enabling rapid deployment of domain-exposed tools for AI agents within these environments.

Use reusable MCP server patterns instead of building from scratch to satisfy requirements for modularity, robust error handling, and pluggable backends out of the box. This approach accelerates development by providing built-in rate limiting, caching, and a decorator-based tool registry.

Yes, you can expose domain operations as MCP tools without extensive boilerplate by using the decorator-based tool registration system. This pattern simplifies wiring domain logic into the server, allowing AI agents to access operations quickly and efficiently.