"Information about proxies or proxy servers" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Send and receive webhooks without building delivery queues or customer webhook controls. Relin lets your software and AI assistants set up inbound handlers, manage outbound events and customer endpoints, inspect delivery health, and retry failed deliveries. A generous free plan is available; no paid subscription is required.
Ask your AI about your EventSend events, delivery health and usage.
Warm CDN and reverse-proxy caches: manage sites, run warms, read cache-hit stats.
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Free-trial AI fleet spend meter. Quote agent fleet spend from token usage. 100 calls or 14 days. No auth. Official MCP Registry: io.github.mtardy90-sudo/bootlace-ai-spendmap.
Oviond brings data from 100+ marketing platforms into one reporting platform. Through the Oviond MCP server, AI assistants can securely access and work with Oviond clients, projects, reports, dashboards, widgets, and marketing data. Ask questions about your reporting data, analyze marketing performance, and manage reporting workflows directly through your AI assistant.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Health and token cost of every remote MCP registry server, probed daily. Look up, search, or probe.
Stateless MCP gateway and OTel span-streaming bridge for hosted MCP servers.
Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Weekly scans of MCP servers for availability and consistency, with a public dashboard.
Free spend report from an agent log, no key. Hosted proxies: caps, audit export, buy calls.
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
MCP tool observatory: do registry servers answer, and are their answers true? No key.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
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.
Analytics for MCP servers. Query your tool calls, first-call success, retries and schema cost.
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
