"A tool or service that assists in real-time information search" matching MCP connectors:
Matching Connector Tools:
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
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.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
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.
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.
Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.