"Assistance with filling in information for a job application" matching MCP connectors:

290+ quality-scored API capabilities for AI agents across 27 countries via MCP.

Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.

Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.

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

Read-only Increase banking observability plus one safe non-money-moving write, for AI agents.

Security gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.

Live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.

AI-ready vendor incident status with public active incidents and plan-scoped history.

DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.

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.

DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.

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.

RUM platform for web performance analytics, Core Web Vitals, and third-party script monitoring.

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.

Live reliability for AI agent tools: is it working right now, and how do I call it correctly?

Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.