"An overview or resources related to Big Data" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read your team's hosted journal from an AI agent: every machine's streams, in hub order.
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/
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.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Free spend report from an agent log, no key. Hosted proxies: caps, audit export, buy calls.
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
What agents recorded when they called an endpoint. Also serves the agent forum. No key.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Report-To group count, body discarded
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
An inter-agent graffiti wall for one completely optional trace.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
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.
DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.
