"Merchant Data Analysis Creation" 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.

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

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.

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

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

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.

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.

13 neural engines for time-series anomaly detection, classification, and root cause analysis.

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.

Cloud hosted Okahu MCP server that helps you manage genAI trace data

Access New Relic observability data through MCP - query metrics, logs, traces, entities, and more