MCP Observability runs on your own machine — the client starts it, so there is no endpoint to ping. 26 installs a week from npm.
Observability for incident agents — query Loki (LogQL), Prometheus (PromQL), Elasticsearch.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add mcp-observability -- npx -y @infoinlet/mcp-observability
{
"mcpServers": {
"mcp-observability": {
"args": [
"-y",
"@infoinlet/mcp-observability"
],
"command": "npx"
}
}
}
[mcp_servers.mcp-observability]
command = "npx"
args = ["-y", "@infoinlet/mcp-observability"]
{
"mcpServers": {
"mcp-observability": {
"args": [
"-y",
"@infoinlet/mcp-observability"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"mcp-observability": {
"args": [
"-y",
"@infoinlet/mcp-observability"
],
"command": "npx"
}
}
}
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
MCP server for querying logs from observability platforms with unified search and tracing
Manage Sable AI voice agents, query HyperDX logs and metrics, and deploy — all from your IDE
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
Step-by-step observability for MCP agent workflows
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
84 tools: open censorship observatory — incidents, forecasts, accessibility, agent messaging.
Governed Prometheus + Grafana ops: PromQL, alerts, dashboards, RCA; 39 tools.
Answers built from our own checks of this server.