"MCP provides a structured interface for tools and AI agents to query observability data, enabling developers to surface traces, metrics, and logs in their IDE without switching context. This high-level capability is designed to streamline debugging and reduce time spent navigating between systems, while also laying the groundwork for consistent access across AI assistants and integrations. Originally launched as an open source project, MCP is now offered by Honeycomb as a managed service."
"Honeycomb also announced that MCP is listed in the newly launched AI Agents and Tools category on the AWS Marketplace, making it easier for enterprises to procure and deploy the service. A PR Newswire release noted that the new marketplace category was created to highlight tools designed to support AI agents, with Honeycomb's inclusion signalling early recognition of its role in this emerging space."
Honeycomb has made its Hosted Model Context Protocol (MCP) generally available as a managed service that allows developer tools and AI agents to query observability data. MCP offers a structured interface to surface traces, metrics, and logs inside IDEs without switching context, aiming to streamline debugging and reduce time spent navigating systems. The hosted version removes the need for teams to self-host or maintain infrastructure, lowering operational overhead. MCP is listed in the AI Agents and Tools category on the AWS Marketplace to simplify enterprise procurement and deployment. The service enables real-time observability queries for agents and IDE integrations.
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