"A platform providing TTS (Text-to-Speech) capabilities" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
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.
Scan/purge hidden text & score web domains: TLS, DNS, headers, speed. Free scans, $0.01 actions.
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.
Report capabilities needed and not found. Requests aren't fulfilled.
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.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
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's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Discover Frontier inference capabilities and read sanitized usage through read-only tools.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Report-To group count, body discarded
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
RUM platform for web performance analytics, Core Web Vitals, and third-party script monitoring.
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.
