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More of these servers are being announced weekly, but an expert urges infosec pros to move to the technology slowly.
Model Context Protocol (MCP) use is increasing in popularity for connecting AI agents to data sources, and other services.
JFrog Ltd, the Liquid Software company and creators of the award-winning JFrog Software Supply Chain Platform, today unveiled ...
Udemy (Nasdaq: UDMY), a leading AI-powered skills acceleration platform, today announced the upcoming launch of its new Model ...
JFrog’s MCP Server is a centralized, cloud-native solution that simplifies and secures AI integration within the software ...
With native support for Oracle Databases, the MCP server will allow developers to build AI agents that can autonomously query ...
Nexus, the high-performance financial data platform built for intelligent systems, today announced the release of its MCP ...
Oracle has launched the MCP server to help developers build AI agents that can autonomously query and reason over enterprise ...
MCP, an open standard developed by Anthropic PBC, provides a simple way to connect tools, data and services to AI models and ...
The Register on MSN13d
From A2A to MCP, a look at the protocols that might one day help AI automate you out of a jobSo, it was only a matter of time before the first protocols governing agentic AI started cropping up.… Anthropic's Model ...
JFrog disclosed CVE-2025-6514, a critical vulnerability in the mcp-remote project that allows for remote code execution.
Building an MCP server involves using Python, the MCP SDK, and libraries like `yfinance` to create functions for tasks such as stock price retrieval, with MCP decorators allowing tool accessibility.
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