"A search engine called Brave Search" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Uptime monitoring, status pages and on-call in one place. Create and tune monitors for HTTP, TCP, DNS, ping, TLS certificates, domain expiry, heartbeats and scripted browser logins. Run a check on demand, read uptime and response-time history, acknowledge and resolve incidents, post incident updates, schedule maintenance windows and edit public status pages. Read-only until you grant write access.
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.
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/
Website traffic, human vs bot split, realtime visitors, breakdowns and site health for your DevDome sites. Hosted remote MCP server (streamable HTTP), authenticated with a DevDome API key.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Health and token cost of every remote MCP registry server, probed daily. Look up, search, or probe.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
Ask an agent why a PHP site is slow: every request with its SQL, HTTP calls, errors and N+1.
Weekly scans of MCP servers for availability and consistency, with a public dashboard.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Ingest and search LogsLoom logs from coding agents.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Public read-only demo of Netmon's network monitoring tools over a recorded snapshot.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
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.
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.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
DevOps, SRE, and QA intelligence for Cursor — investigate bugs, assess release readiness, search logs, triage outages, diagnose failed CI, check deployments, and query connected cloud platforms. Secure remote MCP with OAuth2 and read-only QA subagents.
