"Merchant Category Code (MCC) data lookup" matching MCP connectors:

Public MCP digital twin with synthetic systems and an agent firewall. No customer data.

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

Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.

An MCP server giving access to Grafana dashboards, data and more.

Website performance monitoring: scans, Core Web Vitals, RUM data and alerts.

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.

API and website monitoring that validates the JSON a response returns, not just its status code. Create endpoint checks, pull incident reports carrying the actual failed payload, and read health scores from your editor.

API monitoring from your editor. Checks the JSON your endpoints return, not just the status code.

Query real user session replay data: tapes, transcripts, error/rage-click filters, alerts.

High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.

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

Connect AI assistants to AppAmbit — the command center for your mobile & desktop apps. Query real-time analytics, sessions, and crash reports; read and push remote config; send push notifications, provision and query managed per-app SQLite databases, deploy serverless Cloud Code functions; and manage a headless CMS. Also generates SDK setup snippets and runs integration diagnostics. Supports .NET MAUI, Swift, Objective-C, Android and more. Built for indie devs, mobile teams, and agencies.

Real User Monitoring for Core Web Vitals. Query LCP, INP, CLS field data from real visitors.

Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

A paid remote MCP for AI SDK data query MCP, built to return verdicts, receipts, usage logs, and aud

Query Honeycomb observability data: traces, events, metrics, SLOs, triggers, and boards.

Data + AI observability — monitor and troubleshoot production-grade agents and the context they use.

Uptime monitoring with 127 tools across 23 protocols. Tag filtering + Code Mode.

The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.

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.