"Overview of HTTP (HyperText Transfer Protocol)" matching MCP connectors:

Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.

Query 90 days of honeypot probe data: IP reputation, scanners, CVE probing, TLS/SSH fingerprints.

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.

ThreatFox MCP — abuse.ch indicator-of-compromise feed (free, key required)

Synplex provides inventory health scoring, landed cost calculation, and quick inventory diagnosis tools for Shopify merchants. It enables AI assistants to assess stock performance, calculate true product costs including duties and shipping, and instantly surface inventory issues.

Gain visibility into the performance, availability, and health of your apps and infrastructure.

Evidence-governed screening of material decisions about physical assets and operational systems.

The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.

Privacy-first web analytics, exposed to your AI agent as a first-class data source. The agent sees your traffic, referrers, geos, devices, live visitors, and custom events, and can reason across them. Ask what changed since the last deploy, why a campaign underperformed, which segment of signups actually activated, or have it build a conversion funnel and alert you when bounce rate spikes.

Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.

MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.

HttpStatus MCP Server — 24 AI-callable tools for API testing, mocking, monitoring, and security. Create and manage API mocks, run chaos engineering rules, validate OpenAPI specs, scan URLs for security issues, check SSL certificates, debug CORS, analyze redirect chains, decode JWTs, inspect HAR files, trace distributed requests, capture webhooks, build automation workflows (including Postman import), and set up uptime monitors — all from your AI assistant.

Let AI agents monitor and manage your infrastructure through the Model Context Protocol. Query, create, and resolve — all in natural language.

The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.