Assistance with Data Analysis on Database Data MCP Connectors

llm-observability-orchestration B

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

AI & Machine Learning Observability

121

spikesh A

Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.

Monitoring Observability

162

squadcast A

Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.

Monitoring Observability

162

all-quiet A

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

Monitoring Observability

112

betterstack A

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

Monitoring Observability

92

Agent Observatory Digital Twin C

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

Observability Security

62

Huntertech.io Vendor Insights A

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

Monitoring Observability

32

driftoracle B

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

Monitoring Observability AI & Machine Learning

152

Google GKE A

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.

Cloud Platforms Virtualization Observability

232

healthchecksio A

Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.

Monitoring Observability

2

mcp-grafana

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

Observability Monitoring

33,291

Stateless Math Aggregator

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.

Monitoring Observability

2

Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

Monitoring Observability

277,495

New Relic MCP Server

Monitor, troubleshoot, and optimize your technology stack with Intelligent Observability.

Observability Monitoring

2

Sentry AOAuth

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

Monitoring Developer Tools Observability

3

Aient

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.

Observability Monitoring Developer Tools

2

mcp

Interact with a global network measurement platform.Run network commands from any point in the world

Monitoring Observability OS Automation

262

AnomalyArmor

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

Monitoring Observability Data Platforms

21

coralquery-mcp

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