"Context7 - Tool or Service Lookup" matching MCP connectors:
Matching Connector Tools:
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Security gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Ecosystem monitoring: service status and x402 activity metrics
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.
EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.
DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.
DORA OS EventFabric - 14-tool event stream for DORA compliance signals and pub/sub fabric.
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.
Trust checks for MCP servers: trust scores, tool-drift detection, signed diligence receipts. Free.
Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.
Service level agreement monitoring for the Hive agent fleet
Hash-chained HMAC-signed audit log MCP for A2A (agent-to-agent) calls. Every tool-call, agent-ha...
Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.
Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.
PII scanning and redaction receipts for LLM traces and tool payloads.
Secure Nvoip MCP server for reports, call analytics, service quality, and business insights.
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.