"How to write a query in Elasticsearch" matching MCP connectors:
Matching Connector Tools:
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.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Read-only Increase banking observability plus one safe non-money-moving write, for AI agents.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
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.
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.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.
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.
Query Checkly synthetic monitoring — checks, statuses, results, alerts, reporting and dashboards.
An MCP server giving access to Grafana dashboards, data and more.
AI access to Hitsteps analytics, live visitors, uptime, goals, alerts, and chats.
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
Read-only access to your Nexly web analytics: traffic, pages, acquisition, events, and reports.