#mcp

#mcp

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.

Move beyond chatbots to build durable MCP servers that run for days, survive failures, and orchestrate elicitations and LLM sampling. Learn remote MCP trade-offs and patterns for Anthony Shaw poses the question: Python has had async for 10 years, so why isn't it more popular? He dives deep on where async is useful and where it is limited. Associated Don't miss Glean's product launch on Sept 25th.

The Linux Foundation has incorporated the open source agentgateway project into its organization. This AI-native proxy has been built from the ground up for AI environments, unlike existing solutions that have been adapted later. The project supports important protocols such as A2A and MCP. Under the wing of the Linux Foundation, agentgateway will have room for organic growth. Neutral governance prevents dependence on individual suppliers. This model has proven itself in other successful open source projects.

One of the most notable updates in this version is the new authentication protocol. It as explained separates the roles of the authentication server and the resource server, making it easier to integrate with widely used standards such as OAuth 2.0 and OpenID Connect. It is stated that the goal is to improve both flexibility and security when managing access to external resources.

The vulnerability allows attackers to trigger arbitrary OS command execution on the machine running mcp-remote when it initiates a connection to an untrusted MCP server, posing a significant risk to users - a full system compromise." Or Peles, JFrog Vulnerability Research Team Leader, said.

MCP isn't truly composable; most composition happens through inference, which affects its effectiveness in coding tasks.

My MCP "server" came to all of 50 lines of code... Ask it to describe all the files in a directory - it corrected a spelling mistake I made in the path!

MCP transforms how LLMs interact with Docker, enabling them to execute commands in real-time, facilitating faster DevOps workflows.