Observability platform vendor Coralogix announced today its new Model Context Protocol (MCP) server.
Model Context Protocol server targets growing AI demand
MCP is an open standard developed by Anthropic, the company behind Claude, that provides a simple way to connect tools, data, and services to AI models and systems. It is quickly becoming the default protocol through which companies enable organizations to build and deploy agentic AI applications.
The new server offering allows third-party AI agents to connect directly to Coralogix’s observability data, including logs, metrics, traces, SIEM, and real user monitoring (RUM), across production, staging, and other environments.
Agents generally lack direct access to specific observability data, which can limit the available use cases for agentic AI within an organization. Coralogix says that by integrating with tools developers already use, such as the widely used AI code editor Cursor or IDEs, the MCP Server enables AI agents not only to detect issues in real time but also to assist in diagnosing and resolving them all within the same workflow. This “closing the loop” capability streamlines operations and reduces the need to switch between multiple tools.
“Adding the MCP server to our current AI capabilities will enable teams to create custom AI-driven observability experiences,” said Liran Hason, VP of AI at Coralogix. “Now, our customers can easily equip their AI agents with direct access to production observability data. Publishing an official MCP Server also allows our customers to rely on a trusted MCP source and ensure they get the best and most reliable observability capabilities for their agents.”
Coralogix bets big on AI observability fueling the future of tech
This is the latest in a string of announcements Coralogix has made in 2025. The company’s focus on observability has found new applications in the race to leverage AI.
Just a few days ago, Coralogix announced its strategic collaboration agreement (SCA) with AWS. The company can now offer a fast, scalable, and cost-effective solution for monitoring and analyzing data by leveraging native AWS services, including Amazon Simple Storage Service (Amazon S3), Amazon Data Firehose, and AWS Lambda.
In March, the company announced its AI Center following its acquisition of Aporia. The key features of the Coralogix AI Center include:
- An AI evaluation engine that allows users to evaluate AI applications for quality, correctness, security, and compliance. Further, users can tailor specialized evaluators for each AI use case and that can actively assess each interaction, scanning every prompt and response for potential risks or quality issues.
- AI-SPM (Security Posture Management) monitors AI agents’ security and performance across the enterprise in real-time. A dashboard highlights risks like prompt injections, data leaks, and PII leakage, allowing teams to pinpoint and address breaches or security risks.
- Complete visibility into the user journey and cost tracking allows for a full view of user interactions and tracking. This enables teams to pinpoint suspicious resource consumption, detect cost harvesting attempts, and optimize budgets without compromising performance.
- It provides in-depth insights into AI agent performance with performance metrics that detect issues like poor response accuracy, latency spikes, and malicious user inputs, enabling teams to resolve underperforming agents before they impact the user experience.
“Acquiring Aporia enabled us to rapidly deliver real-time AI observability and establish our new AI Research Center,” said Yoni Farin, CTO and Co-founder of Coralogix, in a statement at the time. “This expansion goes beyond observability; we’re investing in top-tier talent to build the next generation of AI-driven solutions for our customers worldwide.”
CEO and co-founder Ariel Assaraf told Channel Insider in April that AI has inspired a new emphasis on the business impact that clean, usable data can provide.
“This data can actually drive business decisions,” Assaraf said. “Suddenly, we can link observability to business logic, and to measuring customer experience and success, and then ultimately to revenue, and that’s a very important conversation for the entire organization to have.”
So far, the Coralogix team is proving its point. In June, the company announced a $115 million Series E funding round that pushed it into “unicorn status,” in which a company is valued at over one billion dollars.
It also launched olly, a generative AI assistant built to simplify access to observability data for both technical and non-technical users.
AWS agreements and designations continue to signal where next-generation solutions will be found. Learn more about how TEKsystems leverages its AWS relationship for its clients’ success.