"A calculation evaluating the expression 9999519 plus 9999490" matching MCP connectors:
Matching Connector Tools:
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Read-only Increase banking observability plus one safe non-money-moving write, for AI agents.
Gain visibility into the performance, availability, and health of your apps and infrastructure.
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
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
The risk officer for AI-assisted trading: enforced exit rules, cooling-off, and public receipts.
Service level agreement monitoring for the Hive agent fleet
Assemble a scheduled operations digest
Uptime, SSL, domain, and Core Web Vitals monitoring for websites and APIs. List, create, update, and pause monitors; read incident history with AI-generated diagnosis; pull Lighthouse and CrUX page speed data. OAuth 2.0 with dynamic client registration — works out of the box with Claude Desktop connectors. Free plan: 20 monitors, read-only MCP.