An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.

The Tavily MCP Server seamlessly connects AI with external tools and data sources through the Model Context Protocol (MCP). It enables real-time web searches using “tavily-search” and facilitates ...

Hands On Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.… ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

What if you could transform ChatGPT from a conversational tool into a fully interactive platform, capable of running custom apps tailored to your needs? Thanks to OpenAI’s Apps SDK and Model Context ...

Streamlining workflows and automating tasks across various applications can significantly enhance productivity and reduce errors. By integrating Zapier with a Model Context Protocol (mCP) server, you ...

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 ...

The Model Context Protocol (MCP) is an open standard that's rapidly emerged as a universal translator for digital services. First introduced by Anthropic in late 2024, MCP was designed to standardize ...

New research published today from Tenable Inc. examines how prompt injection techniques in Anthropic PBC’s Model Context Protocol can be harnessed not just for exploitation, but also for strengthening ...

What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...