MCP registries are emerging as the new integration catalog for AI agents. Building one for the enterprise requires semantic discovery, strong governance, and developer-friendly controls.
Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...
Microsoft's AI Toolkit extension for VS Code now includes a Tool Catalog that can scaffold a Python or TypeScript MCP server with the core transport and registration plumbing already set up. In ...
Human-agent collaboration is at the heart of the AI-first organization vision, combining human creativity with AI capabilities to boost business efficiency and productivity. As people work with AI ...
The new hot trend is what’s known as Model Context Protocol, or MCP. And Amazon Ads is entering the fray with a built-in MCP product meant to be a first foot in the door for advertisers using agentic ...
Model Context Protocol has a security problem that won't go away. When VentureBeat first reported on MCP's vulnerabilities last October, the data was already alarming. Pynt's research showed that ...
The BitCraft Online team has begun the process of making its code open-source, a promise developer Clockwork Laboratories announced last April. In this first phase, the server source code has been ...
New research from Cyata reveals that flaws in the servers connecting LLMs to local data via Anthropic’s MCP can be exploited to achieve remote code execution and unauthorized file access. All three ...
A set of three security vulnerabilities has been disclosed in mcp-server-git, the official Git Model Context Protocol (MCP) server maintained by Anthropic, that could be exploited to read or delete ...
Microsoft has moved its Model Context Protocol (MCP) support for Azure Functions to General Availability, signaling a shift toward standardized, identity-secure agentic workflows. By integrating ...
Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results