"using-the-internet-for-searches" matching MCP servers:

Enables AI agents to check the health of internet infrastructure and specific services, helping diagnose whether issues are local or external.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Enables natural language interaction with Plausible Analytics data to query traffic, visitors, engagement, and more using conversational questions.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

Enables running Splunk searches and reading their results against a Splunk Cloud deployment that requires interactive Microsoft Entra SSO and MFA, using a Playwright-managed authenticated browser session instead of API tokens.

Enables AI assistants to run Sumo Logic log searches via HTTP using the Search Job API.

It enables agents to discover Rapid7 InsightIDR log sets and logs, run LEQL searches and analytics, and follow paginated results for natural-language investigations.

Enables querying Cloudflare Radar data for internet traffic, attacks, BGP, and quality insights via natural language or direct tool calls.

A safety layer and monitoring copilot for AI agents using Splunk MCP, recording tool calls, enforcing policies, and blocking risky actions.

Enables agents to run internet speed and latency tests, and retrieve historical network quality summaries from a local JSONL store, all via simple MCP tools.

Enables natural language interaction with Cloudflare services including Workers, observability, documentation, and Radar for managing configurations, analytics, and internet insights.

Enables users to interact with Splunk instances to execute SPL queries, manage saved searches, and monitor system health. It provides a clean interface for listing dashboards, indexes, and logs through the Model Context Protocol.

Enables AI coding agents and other MCP hosts to read Elastic Cloud logs across multiple regions using six read-only tools for overviews, deduplicated error patterns, compact searches, context lookup, full log retrieval, and bulk JSONL export.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.

8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits

Web analytics and AI session replay for agents: visitors, breakdowns, funnels, goals, revenue attribution, and AI-found site issues. Connects to the hosted Flowsery MCP server.

Provides MCP tools to create and query SigNoz trace funnels, enabling agents to measure their own step conversion rates from within the agent loop.