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.

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server ...

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 ...

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 ...

Built in collaboration with Anthropic, AWS, GitHub, Google, and Windsurf, Miro’s MCP server helps product and engineering teams align faster and build with greater context ...

Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...