Keboola MCP Server vs Google Analytics MCP
Two MCP servers from our data & analytics ranking, compared on live data - updated nightly, never sponsored.
Bottom line · 2026-08-25
Keboola MCP Server records more monthly package installs (45,193 vs 24,309); both are actively maintained, with commits inside the last month.
How they differ in kind
Keboola MCP Server focuses on: Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. Google Analytics MCP focuses on: 🌐 Live Documentation & Web Portal: https://ga4.builditwithai.xyz. Keboola MCP Server offers a remote endpoint; Google Analytics MCP is local stdio.
What each one does
Keboola MCP Server
Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. It turns Keboola features - like storage access, SQL transformations, and job triggers - into callable tools for Claude, Cursor, CrewAI, LangChain, Amazon Q, and more.
From the project's README.
Google Analytics MCP
🌐 Live Documentation & Web Portal: https://ga4.builditwithai.xyz. It runs locally over stdio via the published package.
From the project's README.
14 signals, side by side
| Signal | Keboola MCP Server | Google Analytics MCP |
|---|---|---|
| Monthly installs | 45,193 | 24,309 |
| GitHub stars | 86 | 235 |
| Last commit | 2026-08-23 | 2026-08-18 |
| Releases · last 90 days | 10+ | 10+ |
| In the registry since | Oct 2025 | Sep 2025 |
| Registry versions | 35 | 6 |
| Documented tools | not extracted - see README | not extracted - see README |
| Env vars extracted | 4 | 4 |
| Runs | local or remote | local (stdio) |
| Endpoint auth | yes (verified) | local only |
| Maintenance | actively maintained | actively maintained |
| License | MIT | MIT |
| Language | Python | Python |
| Category rank | #2 of 75 | #4 of 75 |
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
Keboola MCP Server
- KBC_STORAGE_API_URL
- KBC_STORAGE_TOKEN
- KBC_WORKSPACE_SCHEMA
- KBC_BRANCH_ID
Google Analytics MCP
- GA4_PROPERTY_ID
- GOOGLE_APPLICATION_CREDENTIALS
- DO_NOT_TRACK
- MCP_TELEMETRY_OPT_OUT
Which one, for what
Derived from the signals above, not hands-on testing.
Pick Keboola MCP Server if…
- → you want a hosted endpoint instead of running a local process
- → measured package adoption matters - 45,193 monthly installs
Pick Google Analytics MCP if…
- → category standing - #4 of 75 maintained data & analytics servers
Who's behind them
Keboola MCP Server - keboola: 1 MCP server tracked, 1 maintained, 86 combined stars.
Google Analytics MCP - surendranb: 2 MCP servers tracked, 2 maintained, 240 combined stars. Full record.
Not sold on either?
The next-ranked data & analytics servers we track:
Quick answers
Is Keboola MCP Server better than Google Analytics MCP?
Package installs favor Keboola MCP Server: 45,193 monthly installs to 24,309. Google Analytics MCP still ranks #4 of 75 maintained data & analytics servers. Data as of 2026-08-25; we haven't hands-on tested either.
Can I use Keboola MCP Server and Google Analytics MCP together?
Yes - MCP clients accept multiple servers in one config, so you can enable both data & analytics servers side by side. If their tools overlap, keep the one whose toolset fits to keep your agent's tool list lean.
What environment variables do their READMEs document?
Keboola MCP Server: 4 environment variables extracted from the README setup; Google Analytics MCP: 4 environment variables extracted from the README setup. Extraction does not rule out other authentication or configuration steps; check each project's current documentation.
Keep exploring: best data & analytics servers · Python servers · all comparisons · every server
Methodology: package-usage signal = npm/PyPI installs (last month, platform APIs) · maintenance = commit recency + release cadence (GitHub) · tool lists and environment-variable names extracted from each project's README · endpoint auth from our own nightly probes. We haven't hand-tested these servers; everything here is data as of 2026-08-25.