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Beyond Isolated AI: How the Selector MCP Server Connects Agents, Context, and Action

Nov 14, 2025 By Dallon Robinette In Selector
AI in network operations is evolving faster than ever. But while new models and agents are emerging almost daily, they’re often working alone, with each confined to its own context, data, and domain. One model might analyze telemetry, another handles automation scripts, and a third generates summaries or recommendations. Each model might be intelligent on its own, but without a way to share context, they end up thinking in isolation, limiting what they can achieve together.
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From Error to Fix: AI-Powered Debugging with Sentry and GitHub

Nov 14, 2025 By Sentry In Sentry
​This session will focus on the agent based features of Sentry for debugging an issue in a web application. We'll move through the broken issue - and show how tools like Sentry Seer and the GitHub repo integration make it easy to determine the root cause of an issue by bringing all the context of Sentry and code in GitHub together, and how the Sentry MCP makes it easy to pull all that context down into GitHub CoPilot to fix it locally.
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Video Face Swap Tools Compared: Which One Balances Speed, Quality, and Ease?

Video Face Swap Tools Compared: Which One Balances Speed, Quality, and Ease?

Nov 14, 2025 By OpsMatters In OpsMatters
In the age of digital content, video face swapping has grown beyond just a novelty. Creators, advertisers, and meme-makers alike are leveraging the utility of this technology to deliver entertaining, shareable, and commercial quality content. From highly customized ad campaigns to viral social media fodder, the need for any kind of tool that offers speed, quality, and usability is growing exponentially. This post will outline some of the best available video face swap tools, compare the keys to what's good about each, and explain which one is the best overall.
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How to Use WAN AI to Generate Realistic Videos

How to Use WAN AI to Generate Realistic Videos

Nov 14, 2025 By OpsMatters In OpsMatters
In the ever-evolving world of technology, artificial intelligence (AI) continues to push the boundaries of what is possible. One area where AI is making significant strides is in the generation of realistic videos. With the help of WAN AI technology, creating lifelike videos has never been easier. In this article, we will explore how to use WAN AI to generate realistic videos, the benefits of this technology, and how you can integrate it into your own projects.
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5 Leading AI Influencer Makers for Social Media Growth

5 Leading AI Influencer Makers for Social Media Growth

Nov 14, 2025 By OpsMatters In OpsMatters
Social media success now depends on creativity, consistency, and innovation - and AI influencers are redefining what it means to connect with audiences. These virtual personalities allow brands and creators to tell stories in new ways, maintaining perfect control over image, tone, and message. Unlike traditional influencer partnerships, AI influencers never miss deadlines, don't require contracts, and can be customized to fit any brand identity. The best part? Creating one is easier than ever, thanks to new-generation AI influencer makers that combine realism, motion, and storytelling tools.
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Graylog MCP Integration: Real-Time LLM Access to Your Data

Nov 13, 2025 By Graylog In Graylog
Graylog V7.0 supports integration with the Model Context Protocol (MCP), which allows large language models (LLMs) to access and interact with Graylog data and workflows in real time. Graylog exposes an MCP-compatible endpoint for LLM clients, such as Claude and LM Studio. MCP integration allows Graylog users to interact with their data through LLMs. With MCP, an LLM can connect directly to Graylog as a remote tool interface, performing queries, retrieving system information, and assisting with common administrative or investigative tasks. This capability may make it possible to.
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Introducing the Splunk Technology Add on for Ollama Illuminating Shadow AI Deployments

Nov 13, 2025 By Splunk In Splunk
Without strong visibility and governance, local LLMs risk replicating the fragmented, unsupervised sprawl once seen in shadow IT, complicating security postures and making it difficult for organizations to ensure proper oversight and compliance as these powerful AI tools become embedded in daily workflows. To address this challenge, The Splunk Threat Research Team has released the Splunk Technology Add-on for Ollama that provides comprehensive monitoring and observability capabilities specifically designed for local LLM deployments.
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jfrog

Beyond Models: JFrog AI Catalog Evolves to Detect Shadow AI and Govern MCPs

Nov 13, 2025 By Ran Romano In JFrog
When we first introduced the JFrog AI Catalog, it was our mission to provide the industry with a single system of record for governing the complex landscape of internal, open-source, and external commercial AI models. This foundational step was critical for enterprises to move from uncontrolled innovation to delivering AI with trust and confidence. However, the AI landscape is ever-evolving. The challenge for today’s enterprise is already evolving beyond simply managing a library of known models.
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