LogBrew MCP Server
Error tracking, logs, and traces that you and your AI coding agent can read.
About
LogBrew is error tracking, logs, traces, and product analytics in one place. It groups errors into issues and links each one to the logs, trace, release, and users around it. This hosted MCP server lets your coding agent read all of that. Ask it why checkout started failing and it pulls the issue, the stack trace, the logs around the first event, and who was affected, so it can fix the bug and then check that the errors stopped. You connect with an OAuth sign-in, no keys to paste, and the server only reads data. Every feature is on every plan. The free plan has 100k errors, 50 GB of logs, 50 GB of metrics, and 50M spans a month, 30-day retention, and unlimited team members, with no card needed. SDKs cover JavaScript, Python, Go, Java, Kotlin, Swift, Objective-C, Rust, PHP, Ruby, .NET, C, C++, and Unity.
Security Report
The LogBrew MCP server is a hosted, OAuth-authenticated, read-only-by-default Rust service exposing two tools (search and execute) with request-bound authorization, scope enforcement for write operations, bounded input/output validation, and redacted error handling. The code shown contains no evident data exfiltration, shell execution, or hardcoded credentials; network access and TLS upstream calls match its purpose as a telemetry/observability proxy. Only minor observations remain, such as the telemetry feature sending operation names to a LogBrew project and the truncated portions of the code (catalog, upstream, and telemetry modules) that could not be reviewed.
5 files analyzed · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1Why did checkout start failing in production?
- 2Show the newest unresolved issues and how many users each one hit
- 3Did the last release add new errors?
- 4Find the logs and trace around this error
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