Server Chart 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
monthly package install counts are comparable (36,312 vs 24,309); both are actively maintained, with commits inside the last month.
How they differ in kind
Server Chart focuses on: A Model Context Protocol server for generating charts using AntV. Google Analytics MCP focuses on: 🌐 Live Documentation & Web Portal: https://ga4.builditwithai.xyz. Environment-variable extraction: Server Chart yielded 3 variables; Google Analytics MCP yielded 4 variables. Implementation languages differ (TypeScript vs Python).
What each one does
Server Chart
A Model Context Protocol server for generating charts using AntV. We can use this mcp server for _chart generation_ and _data analysis_. It runs locally over stdio via the published package.
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 | Server Chart | Google Analytics MCP |
|---|---|---|
| Monthly installs | 36,312 | 24,309 |
| GitHub stars | 4,337 | 235 |
| Last commit | 2026-08-19 | 2026-08-18 |
| Releases · last 90 days | 0 | 10+ |
| In the registry since | Sep 2025 | Sep 2025 |
| Registry versions | 7 | 6 |
| Documented tools | not extracted - see README | not extracted - see README |
| Env vars extracted | 3 | 4 |
| Runs | local (stdio) | local (stdio) |
| Endpoint auth | local only | local only |
| Maintenance | actively maintained | actively maintained |
| License | MIT | MIT |
| Language | TypeScript | Python |
| Category rank | #1 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.
Server Chart
- VIS_REQUEST_SERVER
- SERVICE_ID
- DISABLED_TOOLS
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 Server Chart if…
- → you prefer a TypeScript codebase to extend or audit
- → measured package adoption matters - 36,312 monthly installs
Pick Google Analytics MCP if…
- → release velocity matters - 10+ releases in 90 days vs 0
- → you prefer a Python codebase to extend or audit
Who's behind them
Server Chart - antvis: 1 MCP server tracked, 1 maintained, 4,337 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 Server Chart better than Google Analytics MCP?
The numbers don't separate them: 36,312 vs 24,309 monthly installs, and both committed within the last month. Choose on fit - execution model, extracted environment variables, endpoint authentication, and license are in the table above. Data as of 2026-08-25.
Can I use Server Chart 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?
Server Chart: 3 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 · TypeScript 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.