One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...

An MCP Server uses the Model Context Protocol (MCP) to link AI models with tools and data sources. These lightweight programs securely handle tasks like accessing files, databases, or APIs, enabling ...

Google has revealed a Model Context Protocol (MCP) Server for its Data Commons platform. The MCP server allows developers and AI systems to access publicly available datasets using natural language.

When Python web frameworks like Flask and Django first rose to prominence, Python was a somewhat different language than it is today. Many elements of modern Python, like asynchronous execution and ...

The OpenAPI specification, and the Swagger suite of tools built around it, make it incredibly easy for Python developers to create, document and manually test the RESTful APIs they create. Regardless ...

In MarTech’s “MarTechBot explains it all” feature, we pose a question about marketing to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader ...

To connect your Zerodha Kite account to Claude AI using MCP, install the Claude desktop app and Node.js, then edit the claude_desktop_config.json file to add the Kite MCP server details. Restart ...