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Lightrun MCP Server

Lightrun MCP Server

Remote
github.com/lightrun-platformDeveloper Tools27Updated 10w ago
Repository

About Lightrun MCP Server

Lightrun AI is a collection of reusable skills for investigating runtime issues with Lightrun. It is intended for coding assistants and provides workflows for live debugging, production questions, error remediation, performance diagnosis, and runtime-aware PR review.

Key features

  1. 01Live-runtime investigation with preflight checks
  2. 02Production runtime question answering
  3. 03Error root-cause analysis and remediation
  4. 04Slow execution and latency diagnosis
  5. 05Runtime-informed pull request review

Use cases

  1. 01Collect runtime evidence during debugging
  2. 02Ask about live production values and hit counts
  3. 03Investigate endpoint latency or timeouts
  4. 04Review a pull request using runtime samples

MCP support

The skills require access to the Lightrun MCP server and completed MCP OAuth authorization. The repository includes a Cursor MCP server configuration.

#debugging#production-debugging#runtime#observability#developer-tools#ai-debugging#mcp-server#java#nodejs#python#dotnet

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://app.lightrun.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

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-slow-execution-diagnosis — diagnosis for slow endpoints, latency or SLO regressions, timeouts, deadlines, and hangs.
  • 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.

Comments

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