Lightrun MCP Server

AI-powered live runtime debugging with Lightrun production context.

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Documentation

Lightrun AI

A collection of reusable skills for investigating runtime issues with Lightrun.

What is in this repository

  • skills/ — skill folders (SKILL.md, plus optional assets/scripts)
  • .cursor-plugin/ — Cursor plugin metadata
  • .claude-plugin/ — Claude plugin metadata
  • .cursor/mcp.json — Cursor MCP server configuration used by the plugin metadata

Available skills

  • lightrun-live-runtime-debugging — deterministic live-runtime investigation workflow with preflight checks, evidence capture, and handoff output.
  • lightrun-error-remediation-automation — error remediation automation workflow with root cause analysis, mitigation strategies, and automated fixes.
  • lightrun-ask-prod — live production runtime question answering for current values, durations, hit counts, and distributions.
  • lightrun-runtime-aware-pr-review — pull request review workflow that combines live runtime samples with diff-aware risk analysis.

Demos

Installation

Cursor

  1. Open Cursor.
  2. Add plugin from repository URL (or local path).
  3. Use this repository URL: https://github.com/lightrun-platform/lightrun-ai

Claude

This repository includes:

  • .claude-plugin/plugin.json
  • .claude-plugin/marketplace.json

Use your Claude plugin/marketplace flow to install from this repository.

Codex

Codex loads skills from .agents/skills locations.

  1. Copy or symlink skill folders from skills/ into one of:
    • $REPO_ROOT/.agents/skills
    • $HOME/.agents/skills
  2. Restart/reload Codex if needed.

Requirements

  • Access to Lightrun MCP server
  • Completed MCP OAuth authorization for your environment

Contributing

  1. Add a new folder under skills/<skill-name>/.
  2. Add SKILL.md with YAML frontmatter (name, description).
  3. Add optional assets/scripts if needed.
  4. Update marketplace/plugin metadata when adding publishable skills.