Ranuk DataCanvas BI vs io.github.surendranb/google-analytics-mcp
Ranuk DataCanvas BI is an MCP server published by RanuK12. Marketplaces we read that list it: 1 (Official MCP Registry). io.github.surendranb/google-analytics-mcp is an MCP server published by surendranb. Marketplaces we read that list it: 3 (Official MCP Registry, PyPI (MCP servers), Community GitHub marketplaces). As of our marketplace pass on 2026-10-28. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace | ||
|---|---|---|
| Official MCP Registry | Listed Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Listed Version: 2.11.7 Downloads/month (PyPI): 6 868 Downloads/week (PyPI): 2 316 Forks (GitHub): 49 Stars (GitHub): 243 Not marked · First seen |
| PyPI (MCP servers) | Not listed | Listed Version: 2.11.6 Downloads/month (PyPI): 6 868 Downloads/week (PyPI): 2 316 Forks (GitHub): 49 Stars (GitHub): 243 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | Ranuk DataCanvas BI | io.github.surendranb/google-analytics-mcp |
|---|---|---|
| Marketplaces that list it (differs) | 1 (worse) | 3 (better) |
| Stars (GitHub) (differs) | 0 (worse) | 243 (better) |
| Forks (GitHub) (differs) | 0 (worse) | 49 (better) |
| Last release (differs) | Not published | 2026-10-28 |
| Where it runs (differs) | Remote server (datacanvas.ranuk.dev/mcp) | On your machine (google-analytics-mcp) |
| Transport (differs) | Streamable HTTP | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 2, secrets among them: 1 |
| Parts of the bundle (differs) | Not a bundle | 18 |
| Licence (differs) | Not stated | MIT |
| Repository (differs) | github.com/ranuk12/rk-mcp-datacanvas | github.com/surendranb/google-analytics-mcp |
| Changes in the last 7 days (differs) | 2 | 1 |
| First seen (differs) | 2026-10-24 | 2026-10-11 |
| Endpoint at the last check (differs) | not checked yet | no remote endpoint we check |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
Ranuk DataCanvas BI
Interactive data visualization and executive PDF dashboards for ChatGPT, Claude, and Cursor.
io.github.surendranb/google-analytics-mcp
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
How to run each
Ranuk DataCanvas BI As a remote MCP server
claude mcp add --transport http datacanvas https://datacanvas.ranuk.dev/mcp
io.github.surendranb/google-analytics-mcp As a local MCP server: PyPI package
claude mcp add --env "GA4_PROPERTY_ID=<YOUR_GA4_PROPERTY_ID>" --env "GOOGLE_APPLICATION_CREDENTIALS=<YOUR_GOOGLE_APPLICATION_CREDENTIALS>" --transport stdio google-analytics-mcp -- uvx google-analytics-mcp
Requires: GA4_PROPERTY_ID, GOOGLE_APPLICATION_CREDENTIALS (secret)
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
The marketplaces of Ranuk DataCanvas BI publish no settings it asks for, so we do not compare settings.
What it can do: Ranuk DataCanvas BI · What it can do: io.github.surendranb/google-analytics-mcp · Compare two other plugins
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the Python Package Index (pypi.org). Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.