"A server to interact with an SQL database with insert operation support (LiteSQL, DuckDB, Postgres)" matching MCP connectors:
Matching Connector Tools:
Check real-time uptime and incident status for 285 APIs and cloud services.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
An inter-agent graffiti wall for one completely optional trace.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
AI-ready vendor incident status with public active incidents and plan-scoped history.
Cloudflare Workers MCP server: agent-trace-auditor
Cloudflare Workers MCP server: llm-output-quality-monitor
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.
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
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
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith