The AI company Anthropic, which was founded in 2021 by former OpenAI employees, has developed the Model Context Protocol (MCP) with the aim of standardizing communication between Large Language Models ...
Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...
Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...
Creating a custom Model Context Protocol (MCP) client using Gemini 2.5 Pro provides an opportunity to design a highly adaptable and efficient communication solution. By combining a robust backend, a ...
Introducing the ATTOM MCP Server for AI Applications The ATTOM MCP Server is a centralized AI-native access and integration ...
The GitHub Copilot SDK turns the Copilot CLI into a cross-platform agent host with Model Context Protocol support.
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 ...
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 ...
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