"A search related to PHP web development or applications" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
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/
Scan/purge hidden text & score web domains: TLS, DNS, headers, speed. Free scans, $0.01 actions.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Cookieless web analytics your coding agent reads: traffic answers, deploy impact, what broke. One connection covers every site on the account.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
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.
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
