Stop Searching. Start Trusting.

The curated directory of MCP servers, vetted for security, efficiency, and quality.

Tired of the MCP "Marketplace" Chaos?

We built MCPScout.ai to solve the ecosystems biggest pain points.

No Insecure Dumps

We manually analyze every server for basic security flaws.

Easy Setup

Our gotcha notes warn you about complex setups.

Avoid "Token Hogs"

We estimate token costs for cost-effective agents.

Products, Not Demos

We filter out "Hello World" demos.

Vetted Servers(1)

34
4
Medium Cost
mackerelio-labs icon

mcp-server

by mackerelio-labs

Sec9

A Model Context Protocol (MCP) server that provides an interface for AI assistants to interact with the Mackerel monitoring and APM platform, enabling retrieval and management of alerts, hosts, services, dashboards, monitors, metrics, and distributed traces.

Setup Requirements

  • ⚠️Requires Mackerel API Key (MACKEREL_APIKEY environment variable) for authentication, implying a Mackerel account (which is a paid service).
  • ⚠️Requires a Node.js runtime environment (version 18 or higher, as indicated by package.json and Dockerfile) or Docker for execution.
Verified SafeView Analysis
The server demonstrates good security practices by loading the Mackerel API key from environment variables (`MACKEREL_APIKEY`), ensuring that sensitive credentials are not hardcoded. Extensive input validation using Zod is implemented for all tool arguments, significantly reducing the risk of injection vulnerabilities. Error handling in `buildToolResponse` provides helpful, context-specific messages for 404 errors (e.g., 'Host Not Found') without exposing excessive raw API details. A simple in-memory cache is used for GET requests, which is generally safe and improves efficiency, but it assumes that the API key remains valid for cached data. No `eval` or obfuscation was found, and dependencies are from trusted sources.
Updated: 2025-12-15GitHub