Last9

The Last9 MCP Server bridges the gap between production observability data and AI‑powered development workflows. By exposing a Model Context Protocol (MCP) interface, it lets Claude and other AI assistants query live logs, metrics, traces, and even configure log filtering rules directly from the IDE or chat environment. This eliminates the need to switch contexts, manually sift through dashboards, or run command‑line tools when troubleshooting code—developers can ask the assistant for the latest exception stack traces or the service graph of a failing endpoint and receive actionable insights instantly.

At its core, the server implements several intuitive tools that mirror common observability tasks. pulls recent runtime errors, while visualizes upstream and downstream dependencies for a given span. The tool allows fine‑grained log retrieval by service name, severity, or time window. For advanced control plane operations, and let developers programmatically manage which logs are suppressed, ensuring that only relevant telemetry reaches the Last9 backend. Each tool accepts a small set of parameters, making it straightforward for an AI assistant to construct calls from natural language prompts.

Developers benefit most when integrating this server into their debugging or code‑review loops. In a CI/CD pipeline, an AI assistant could automatically surface the most recent exceptions after a failed build and suggest targeted log filters. During local development, a VSCode extension powered by MCP could provide real‑time feedback on the impact of code changes on service latency or error rates. In production, an AI‑driven incident response bot could interrogate the service graph to identify cascading failures and recommend remediation steps without leaving the chat.

The server’s compatibility with popular tools—Claude desktop, Cursor, Windsurf, and VSCode (GitHub Copilot)—ensures that teams can adopt it without disrupting existing workflows. Its design emphasizes low friction: a handful of environment variables, optional Homebrew or NPM installation, and a clear, JSON‑based API surface. By embedding observability data directly into the AI context, Last9’s MCP Server transforms reactive debugging into a proactive, conversational experience that accelerates code fixes and reduces mean time to resolution.