"Understanding how memory is stored or memory storage methods" matching MCP connectors:

Free-trial AI fleet spend meter. Quote agent fleet spend from token usage. 100 calls or 14 days. No auth. Official MCP Registry: io.github.mtardy90-sudo/bootlace-ai-spendmap.

Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.

Ask an agent why a PHP site is slow: every request with its SQL, HTTP calls, errors and N+1.

Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.

Check if any website is down, from two continents, with uptime history and TLS expiry

Meter, cap, and block AI agent spend before the provider is charged.

Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?

OutageDeckA

com.outagedeck

Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

Live reliability for AI agent tools: is it working right now, and how do I call it correctly?

The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.

MCPulseAOAuth

com.getmcpulse.api

Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com

ZopnightOAuth

dev.zop.api

Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude

Mezmo MCP Server

com.mezmo.mcp

Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax

LuciqOAuth

ai.luciq.api

Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.

Brazilian hosting operated end to end by the coding agent: create an app, provision PostgreSQL, Redis and object storage, deploy from GitHub Actions, read container logs, measure memory and CPU, and see the cost in BRL before spending it. Irreversible operations require a human approval code that the agent never sees. Prepaid credit, paid by Pix.

The official MCP server for Lizard (lizard.build). Ship a service, add Managed Postgres, Managed Redis or Managed Object Storage, read logs and metrics, set secrets, scale replicas and attach domains — in plain words. 33 tools over Streamable HTTP, OAuth 2.1; destructive tools require an explicit confirmation argument.

Polar SignalsOAuth

com.polarsignals.api

The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.

Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.