As we mentioned earlier, Open WebUI supports MCP via an OpenAPI proxy server which exposes them as a standard RESTful API.

Python is an excellent choice for the backend, offering robust support for API connections and data management. Key steps in this phase include: Implement the Replicate API to generate AI-enhanced ...

Se você trabalhar com procedimentos armazenados do SQL DB2, talvez seja necessário usar um cursor para processar várias linhas de dados de um conjunto de resultados de consulta. Um cursor é um ...

Variables do not handle multiple values at the same time -- Cursors retrieve data from result one row at a time, update records row-by-row -- @@FETCH_STATUS 0, data available; -1 no data left PRINT ...

(Microsoft's PyLance extension for Python coding is said to have exhibited this behavior for years, preventing its use in VS Code forks.) The latest releases of the specific extensions no longer work ...

It prints greetings in various languages to the user and showcases the basic feature of being able to load queries from a SQL file and call them by name in python code. Query parameter declarations ...

OpenAI has announced support for Anthropic's Model Context Protocol (MCP), joining Microsoft, AWS, and Google in adopting the ...

In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of this tutorial, you will be able to connect your own AI applications with MCP servers, ...