"Information or resources related to scrap materials or processes" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read-only server insight: why a Linux server or K8s cluster is slow, failing or changed.
Read-only access to an ET Ducky organization's Windows and Linux agents, alerts, and fleet summary. Four tools list agents, get one agent with its latest health sample, list alerts, and summarize the fleet. Hosted Streamable HTTP endpoint, authenticated with an organization API token sent as a Bearer header.
Send and receive webhooks without building delivery queues or customer webhook controls. Relin lets your software and AI assistants set up inbound handlers, manage outbound events and customer endpoints, inspect delivery health, and retry failed deliveries. A generous free plan is available; no paid subscription is required.
Guardr keeps watch on the sites you manage. Check any domain from outside and get an A to F health grade for HTTP headers, TLS, DNS and cookies, with fix steps for configuration findings. Three tools: check_site runs a fresh check of one domain, list_sites lists the sites your account watches and get_site returns one watched site in detail. Read-only: Guardr proposes fixes and never changes a site. Needs a Guardr API key; the first site is free.
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
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.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Read a tool-call log from an AI agent run and see which calls failed, looped or were slow.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Read-only access to an ET Ducky organization's agents, alerts, and fleet summary
Cost per run, tool, model and day for AI agents, from one call or an OpenTelemetry export.
Matches sanitized business needs to fixed-price services and routes authorized agents to purchase.
Read Airbrake projects, error groups, notices, deploys and stats; mute or unmute error groups.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Trace events to function runs to the failing step, and bulk-cancel runs.
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Report-To group count, body discarded
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
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.
