"How to Convert a PowerPoint Presentation to a Video" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
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.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
Agent-native service discovery and purchase-intent routing to Stripe-hosted checkout.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
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.
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.
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
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Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
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.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
