"How to find or generate YouTube video transcripts" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AI-native observability and security for engineering teams and coding agents. Search production logs in plain language, investigate issues and root causes, and create or edit live dashboards in your Sazabi workspace. Requires a Sazabi account (OAuth, or a secret key via the X-Sazabi-Secret-Key header).
Connect AI assistants to your Tedix organization’s tasks, knowledge, apps, and results through MCP.
Trace events to function runs to the failing step, and bulk-cancel runs.
Relia tells your AI assistant what broke in production, who it hit and how to fix it.
Vigilia watches your live app, explains every problem in plain language and writes the fix prompt. Your AI fixes it; Vigilia confirms with real traffic. Vigilia watches web apps that are live with real users, including apps built with Lovable, Bolt, v0, Cursor and Claude Code. It catches errors, failed requests and downtime, explains each problem in plain language, and writes a fix prompt for it. Connect Vigilia to Claude and ask what's broken. Claude lists your open incidents worst first. For each one it reads the plain-language diagnosis, who it affects, the technical evidence (error, page, failing request, stack frames and what the visitor did right before) and Vigilia's fix prompt. In Claude Code or another coding agent, Claude can then fix the cause in your own codebase. Once you've deployed, it marks the incident fixed, and Vigilia watches real traffic to confirm the error stayed away. If it comes back, the incident reopens as a regression. You can also ask how an app is doing (uptime, open incidents, today's traffic), get the exact install snippet for a new project, and check that a live site is running Vigilia. Vigilia never reads or changes your code: the fixing happens in your session, by your AI, in front of you. The only tool that changes anything is marking an incident fixed (the install check just records its result on the app), and you can connect with read-only access. Your data is stored in the EU. Emails, tokens and card numbers are stripped from what visitors' browsers send, and only that scrubbed error context is sent to Anthropic to write the diagnosis. Requires a Vigilia account. The free plan covers one app; reporting backend errors (Supabase, Next.js routes, Workers) is part of Pro.
Read-only server insight: why a Linux server or K8s cluster is slow, failing or changed.
Read a tool-call log from an AI agent run and see which calls failed, looped or were slow.
Understand who uses your MCP servers, what they’re trying to accomplish, and where workflows get stuck. Analyze tool adoption, user journeys, reported outcomes, and business signals directly from your AI assistant, with evidence from individual sessions.
Read browser bug recordings: video, console, network, steps. Fix the bug and comment back.
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.
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/
Check if a site or service like Stripe is down, and monitor your sites, cron jobs and status pages.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Public, read-only MCP for Myndock service discovery and observability. Query aggregate origin HTTP/MCP activity, country and action totals, latency, and acknowledged message deliveries over 1, 24, or 168 hours. Tools: get_service_info, get_statistics, get_support_info. No account or API key required. Discover a separate enrollment-only API for private agent tasks and encrypted exchanges; those actions are not public MCP tools.
Match API, CSV, freight, analytics, and content needs to fixed-price services with authority gates.
Is Claude, ChatGPT, Gemini, Cursor or Copilot down? Live status from API probes and user reports.
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.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
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?
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Report-To group count, body discarded
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.
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.
