"Software or tools to extract text from images on Windows" matching MCP connectors:
Matching Connector Tools:
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.
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.
Manage EchoRelay relay projects from any MCP client: lines, endpoints, keys, billing, logs, DLQ.
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.
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.
ResilienceOracle - 10 operational resilience tools: BIA, RTO/RPO, scenario testing.
DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.
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
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.