ClickHouse's observability MCP server — investigate logs, traces and metrics with semantic tools rather than raw SQL, hosted or self-hosted.
Google Cloud Observability MCP Server
Summary
Official Google server exposing Google Cloud Observability to agents — querying logs, metrics and traces from a Google Cloud project without leaving the assistant.
Features
- Queries Google Cloud Logging, Monitoring and Trace through one MCP server
- Pairs with the gcloud MCP server: telemetry for diagnosis, gcloud for action
- Local stdio server run with npx, using your own Google Cloud credentials
- Installable as a Gemini CLI extension
- Apache 2.0, maintained by Google in the googleapis organisation
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
Debugging a Google Cloud workload usually means three consoles: Cloud Logging for what was written, Cloud Monitoring for what the metrics did, and Cloud Trace for where the latency went. This official Google MCP server puts all three behind an agent, so an investigation can move between them in one conversation rather than three browser tabs.
The server talks to the Google Cloud Observability APIs directly, which makes it complementary to the sibling gcloud MCP server: gcloud is for changing and inspecting your environment, observability-mcp is for asking what that environment actually did. In practice the pairing is how most incident work goes — read the telemetry, form a hypothesis, then run the command.
Setup
It runs as a local stdio server, so any MCP client takes a standard entry running npx -y @google-cloud/observability-mcp. Node.js 20 or higher is required, along with Google Cloud credentials that carry the relevant observability read permissions on the project you intend to query. As with the other servers in the repository, it can be installed as a Gemini CLI extension using the package's init command.
Scope and licensing
Published in the same googleapis/gcloud-mcp repository as the gcloud, Cloud Storage and Backup and DR servers, under Apache 2.0. Google also runs a set of remote, fully managed MCP servers for Google Cloud products that authenticate over HTTP with your Google credentials; the local npm servers are the option to reach for when you want the agent talking to your own credentials from your own machine.
Related MCP Servers
See all Google Cloud Observability MCP Server alternativesDatadog's official managed MCP server — query logs, metrics, traces, incidents and dashboards from an AI agent, inside your existing Datadog permissions.
Query SigNoz metrics, traces, logs, alerts and dashboards in natural language — and create alerts, dashboards and saved views back, with deep links into the UI.
MCP: Axiom
by Axiom
Axiom's official MCP server — query event data with APL, read dataset schemas, and create or edit dashboards, monitors and notifiers from an agent.
