"dev.to" matching MCP connectors:

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/

Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.

Monitor uptime and incidents, run checks, and publish status updates from your Uptimepage org.

Manage EchoRelay API integrations from any MCP client: lines, endpoints, keys, billing, logs, DLQ.

Free uptime monitoring: HTTP/TCP/TLS/DNS checks, cron heartbeats, status pages, incident tools.

Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.

Uptime watchdog and dead man switch for AI agents and cron jobs. Alerts you when a job goes silent.

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.

Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.

Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude

Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.

Set up uptime monitoring from your editor: create checks, configure alerts, query uptime history.

MCP control plane for AI developers managing customer mail, DNS, projects, keys, and diagnostics.

Governance layer for AI coding agents: knowledge-graph grounding, session audit, policy controls.

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

Monitoring for small teams. Logs, traces, metrics, live issue tracking, API/MCP uptime.

High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.

Read-only access to your Nexly web analytics: traffic, pages, acquisition, events, and reports.

Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.