"Y Combinator" matching MCP servers:

远程MCP服务，通过Model Context Protocol为AI应用提供阿里云数万个OpenAPI的无缝集成，支持Terraform、多账号、自定义OAuth等能力。

Enables natural language queries of the Chrome UX Report API to fetch Core Web Vitals (LCP, INP, CLS, FCP, TTFB), compare form factors, benchmark pages against site averages, and analyze up to 40 weeks of performance trends.

MCP server for Healthchecks: inspect, create and adjust cron and uptime checks, and read why one failed

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Enables SEO audits and URL monitoring via the SEO Radar API from any MCP-compatible AI client.

Provides cost analysis of AI agent usage by previewing scrubbed metadata before upload and analyzing spend, cache-hit rates, and waste recovery through a local or remote server.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

MCP server for profiling Python processes using py-spy, supporting flamegraphs, stack dumps, and performance comparisons.

Controls Unity ML-Agents training runs from Claude Code, enabling launch, stop, resume, monitor, compare, and export via natural language.

Enables MCP clients to call the platform's full API as individual tools—covering evals, criteria, gates, logs, datasets, aliases, label sets, audit/proving, dedicated endpoints, and training—with validated inputs and raw API responses.

Enables AI assistants to manage PagerDuty incidents, view alerts, and check on-call schedules with both read-only and write operations.

Exposes a Raspberry Pi homelab's systemd service health, disk usage, CPU temperature, and LAN game-server status as read-only MCP tools, letting MCP clients answer questions like "how's the homelab doing?" without SSHing in manually.

Auto-discovers MCP servers for your project and tracks ROI per session. One install: npx -y @perceptdot/core. Your agent finds its own tools and reports tokens saved.

Enables AI assistants to read-only monitor iStoreOS/OpenWRT routers via SSH or HTTP/ubus API, providing 31 tools for system status, network info, logs, and plugin status (OpenClash, Passwall, AdGuardHome, etc.).

Provides a standardized MCP interface for querying Graylog logs, enabling AI agents to search, diagnose, and correlate runtime logs with code via configurable profiles.

An MCP server that lets an AI agent work with an ActiveMQ Artemis broker.

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.

Semantic log clustering for incident triage, exposed as an MCP server.