"Information about Obsidian (volcanic glass or note-taking app)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Ask your AI about your EventSend events, delivery health and usage.
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.
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
Test curl retries locally or inspect remote 429/503 Retry-After traces; optionally share findings.
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.
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Monitoring for the agent economy — liveness, latency, trust scoring for MCP endpoints
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Inspect webhook health, investigate delivery failures, configure sources, and replay events.
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.
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.
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
- Session Replay MCPOAuth unavailablecom.session-replay
MCP for retrieving information about recorded session replays.
