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Cribl Expands AI Capabilities with Notebooks, BYOAI and Standalone MCP Server

• By David Ramel
• 10/15/2025

Cribl announced expanded AI capabilities across its product suite aimed at IT and security teams, introducing Cribl Notebooks, a bring-your-own-AI (BYOAI) capability, and a standalone Model Context Protocol (MCP) server. The company, which provides tools that help organizations collect, process, route, and analyze telemetry data, said the new offerings are designed to make telemetry infrastructure "AI-ready" while maintaining flexibility and control over data strategy.

Cribl Notebooks, now integrated with Cribl Search, allow analysts to consolidate their investigative workflow within a single interface. The feature lets users iterate on queries, combine code, charts, and annotations, and apply AI-assisted insights to shorten investigation times from hours to minutes. The company said this reduces context switching and costs while helping teams more quickly pinpoint root causes and prevent future incidents.

With the new BYOAI capability, Cribl said customers can connect their preferred AI model providers, such as OpenAI or Azure OpenAI, to power Cribl's AI-driven features. This supports data security, compliance, and cost optimization by letting organizations maintain governance over their AI infrastructure and investments. The company said the feature provides "the flexibility and control required as data strategies evolve."

Cribl also announced availability of Cribl MCP as a standalone solution. Based on the open standard Model Context Protocol, the MCP server allows external AI agents to securely interface with telemetry systems like Cribl Guard. According to the company, this approach supports flexible, cloud-native deployment and integration of agentic AI into enterprise environments.

"The AI revolution is here, but its success hinges on the infrastructure that supports it, fuels it, and secures it," said Cribl CEO and co-founder Clint Sharp. "Legacy tools weren't built for the scale, speed, or complexity of AI workloads. Cribl was. Our cloud-native architecture provides the elasticity and flexibility agentic AI demands, while enabling agents to efficiently consume and act on all your telemetry data, all while supercharging the impact of humans. This approach transforms investigations and frees up operators to focus on higher-value problem-solving while keeping our users squarely in the loop."

Sharp explained that traditional telemetry systems cannot handle the scale or complexity of AI-driven workloads: "Agentic workloads are going to destroy the systems built with the assumptions of the 2000s and 2010s. They simply weren't built for it, in terms of scale, performance, economics, or ease of use in working with the gnarly data that is logs, metrics, and traces."

Sharp described Cribl's design philosophy as "the first AI-first architecture that delivers on the promise of being schema-agnostic by design, open and federated across data stores, and structured for AI agents to operate at scale," He said this foundation enables Cribl to support both human and agentic workloads efficiently.

Discussing the new MCP capability, Sharp added that, "Through our implementation of a Model Context Protocol (MCP) server, any third-party agent can run safely on Cribl's data engine foundation." This aligns with Cribl's stated goal of providing open, federated access for agents to operate securely on customer data.

Sharp positioned the launch within a broader shift toward what he called "Agentic Telemetry" -- a model that merges human, machine, and AI-generated data into a unified layer. He wrote, "AI isn't coming to replace humans; it's coming to replace bad architecture. Agentic Telemetry gives you the foundation to embrace this once-in-a-generation shift: open, federated, intelligent, and agent-ready by design."

Cribl said these AI features will help enterprises modernize their observability and security operations as workloads increase under AI adoption. Sharp summarized the company's position by saying, "The agentic era is coming for observability and security. And Cribl is the telemetry data engine built for you -- and your agents."