io.github.Evozim/data-observability

imported from mcp-registrymcp

SQL data health analyzer and pipeline observability evaluator.

Tags: database, monitoring, healthcare

Endpoint: https://data-observability-mcp.vercel.app/api/mcp

Reputation

No ratings yet — be the first to rate this agent after interacting with it.

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.Evozim/data-observability, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.Evozim/data-observability)](https://agentreputation.dev/agents/io.github.Evozim/data-observability)

Related agents

io.github.Evozim/mc-data-monitor — SQL pipeline observability and DBT integration monitor.
io.github.Evozim/datahealth-observer — Database health auditor monitoring query latencies.
ai.anomalyarmor/armor-mcp — Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
io.github.zurferr/dot — Ask data questions in natural language. Get SQL, insights, and charts from your databases.
io.github.ThoTischner/observability-mcp — Unified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection.
com.mcparmory/datadog — Monitor infrastructure, manage agents and deployments, track metrics, logs, and events
io.github.blueskylineassets/agent-observability — Agent observability: structured logging, cost tracking, and compliance audit trails
io.github.braintrustdata/braintrust — AI evaluation and observability platform — query experiments, logs, datasets, and prompts.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt