Coralogix Unveils New Model Context Protocol Server to Meet Surge in AI Demand
Observability platform vendor Coralogix has taken a significant step forward in the ever-evolving world of artificial intelligence by announcing its new Model Context Protocol (MCP) server. This innovative offering aims to bridge the gap between AI agents and observability data, responding to the growing demand for AI-driven solutions across various industries.
An Open Standard for AI Connectivity
The Model Context Protocol is an open standard developed by Anthropic, the creators behind Claude, a generative AI model. MCP provides a streamlined way to integrate tools, data, and services with AI systems. As it gains traction as the preferred means to connect organizations with agentic AI applications, companies are increasingly turning to MCP for building and deploying intelligent systems.
Direct Access to Observability Data
One of the standout features of the new MCP server is its ability to connect third-party AI agents directly to Coralogix’s comprehensive observability data—encompassing logs, metrics, traces, Security Information and Event Management (SIEM), and Real User Monitoring (RUM). This capability spans across production, staging, and other environments, addressing a key limitation that many AI agents face: a lack of direct access to specified observability data.
Coralogix emphasizes that by integrating with existing tools that developers are familiar with—such as AI code editors like Cursor and various Integrated Development Environments (IDEs)—the MCP Server not only enables AI agents to identify issues in real time but also assists in diagnosing and resolving them seamlessly within the same workflow. This functionality, referred to as “closing the loop,” enhances operational efficiency by minimizing the need for users to toggle between different tools during their problem-solving process.
Empowering AI-Driven Observability Experiences
Liran Hason, VP of AI at Coralogix, expressed the potential of the MCP server, stating, “Adding the MCP server to our current AI capabilities will enable teams to create custom AI-driven observability experiences. Now, our customers can easily equip their AI agents with direct access to production observability data.” The introduction of an official MCP Server also fosters a reliable source for users, assuring them of high-quality observability capabilities for their AI-driven tasks.
Coralogix’s Commitment to AI
Coralogix’s new MCP server is just one development in a series of strategic moves the company has made in 2025, signaling a commitment to evolving observability in the context of AI. Recently, Coralogix entered a strategic collaboration agreement with AWS, allowing it to offer a scalable and cost-effective solution for monitoring and analyzing data. By leveraging native AWS services like Amazon S3, Amazon Data Firehose, and AWS Lambda, Coralogix aims to enhance its service offerings further.
In March, Coralogix took another significant step by announcing the launch of its AI Center after acquiring Aporia. This initiative introduced several key features, including:
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AI Evaluation Engine: This robust tool enables users to assess AI applications for quality, correctness, security, and compliance, tailoring evaluators for individual use cases.
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AI-SPM (Security Posture Management): This feature monitors the security and performance of AI agents in real time, quickly identifying risks such as prompt injections and data leaks.
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Comprehensive User Journey Tracking: Users gain visibility into interactions, allowing for optimization of budgets and identification of suspicious resource consumption without sacrificing performance.
- In-depth AI Agent Performance Insights: Features performance metrics that measure response accuracy and latency, empowering teams to address issues before they impact user experience.
The Future of AI and Observability
Yoni Farin, CTO and Co-founder of Coralogix, highlights the importance of real-time AI observability, stating that the acquisition of Aporia has enabled rapid advancements in this area. The company is investing in top-tier talent to spearhead the development of the next generation of AI-driven solutions, illustrating a forward-thinking approach that aligns with emerging trends.
CEO and Co-founder Ariel Assaraf remarked on the transformative potential of clean, usable data within organizations. “This data can actually drive business decisions,” he explained. The ability to link observability to business logic—including customer experience and revenue generation—marks a paradigm shift for organizations striving to remain competitive.
In June, Coralogix achieved further credibility within the tech ecosystem by announcing a $115 million Series E funding round, a milestone that elevated the company to “unicorn status.” The investment is expected to bolster its capabilities, including the recent launch of olly, a generative AI assistant designed to make access to observability data more intuitive for users of varying technical expertise.
Looking Ahead with AWS Collaboration
As Coralogix continues to develop its offerings, partnerships like the recent one with AWS serve as guiding beacons for the next generation of technological solutions. The emphasis on innovation in AI observability showcases the potential for transformative changes that can enhance how organizations utilize data in their decision-making processes. As observability becomes increasingly vis-à-vis AI, the stages are set for a new era of efficient, effective operations that prioritize both real-time insights and actionable intelligence.