"Understanding Cursor or Cline Context in Long-term Memory Systems" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
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.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Free anonymous website, DNS, email and TLS checks, plus monitor read and opt-in write access.
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
Know when cron jobs and AI agents stop running: create monitors and check in from your agent.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
journald cursor shape, value discarded
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
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. 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
