npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

mcp-error-tracker

v0.1.0

Published

Model Context Protocol (MCP) server for error tracking and observability. Integrates with Sentry, Datadog, New Relic, LogRocket, and Rollbar for AI-powered error analysis and debugging.

Downloads

10

Readme

Error Tracker & Observability Hub MCP Server

A Model Context Protocol (MCP) server that provides unified access to error tracking and observability platforms including Sentry, Datadog, New Relic, LogRocket, and Rollbar.

Features

  • Sentry: Query issues, get error details, update issue status
  • Datadog: Search logs, query metrics, monitor alerts
  • New Relic: Run NRQL queries, track error rates, list applications
  • LogRocket: Access session recordings and user sessions
  • Rollbar: List and manage error items
  • AI-Powered: Designed for AI assistants to help triage errors and identify root causes

Installation

npm install -g mcp-error-tracker

Configuration

Set the following environment variables in your .env file:

# Sentry (required for Sentry tools)
SENTRY_AUTH_TOKEN=your_sentry_auth_token
SENTRY_ORG=your_org_slug

# Datadog (optional)
DATADOG_API_KEY=your_datadog_api_key
DATADOG_APP_KEY=your_datadog_app_key

# New Relic (optional)
NEWRELIC_API_KEY=your_newrelic_api_key

# LogRocket (optional)
LOGROCKET_API_KEY=your_logrocket_api_key

# Rollbar (optional)
ROLLBAR_ACCESS_TOKEN=your_rollbar_access_token

Available Tools

Sentry

  • sentry_list_issues - List recent errors and issues
  • sentry_get_issue - Get detailed issue information
  • sentry_get_issue_events - Get all events for an issue
  • sentry_update_issue - Update issue status (resolve, ignore, assign)
  • sentry_get_stats - Get project statistics and trends

Datadog

  • datadog_search_logs - Search logs for errors and events
  • datadog_get_metrics - Query metrics
  • datadog_list_monitors - List monitors
  • datadog_get_monitor - Get monitor details

New Relic

  • newrelic_query_nrql - Run NRQL queries
  • newrelic_list_applications - List all applications
  • newrelic_get_error_rate - Get error rate for an application

LogRocket

  • logrocket_list_sessions - List recent user sessions
  • logrocket_get_session - Get session details

Rollbar

  • rollbar_list_items - List recent error items
  • rollbar_get_item - Get item details
  • rollbar_update_item - Update item status

License

MIT