Photoshop MCP vs Stata MCP
Two MCP servers from our design ranking, compared on live data - updated nightly, never sponsored.
Bottom line · 2026-09-18
monthly package install counts are comparable (13,172 vs 12,422); both are actively maintained, with commits inside the last month.
How they differ in kind
Photoshop MCP focuses on: Languages: English · 简体中文 · Español · Deutsch · 日本語 · Türkçe · Website. Stata MCP focuses on: MCP-for-Stata is an open-source MCP server and CLI that lets any AI agent you use invoke local Stata on your device for regression analysis, econometrics, paper replication, and empirical research. Environment-variable extraction: Photoshop MCP yielded no variables extracted; Stata MCP yielded 1 variable. Implementation languages differ (TypeScript vs Python).
What each one does
Photoshop MCP
Languages: English · 简体中文 · Español · Deutsch · 日本語 · Türkçe · Website. It runs locally over stdio via the published package.
From the project's README.
Stata MCP
MCP-for-Stata is an open-source MCP server and CLI that lets any AI agent you use invoke local Stata on your device for regression analysis, econometrics, paper replication, and empirical research. It provides command guards, resource monitoring, automatic log capture, and cross-platform client installation, while you retain control of your data and Stata license.
From the project's README.
14 signals, side by side
| Signal | Photoshop MCP | Stata MCP |
|---|---|---|
| Monthly installs | 13,172 | 12,422 |
| GitHub stars | 478 | 260 |
| Last commit | 2026-09-18 | 2026-09-14 |
| Releases · last 90 days | 10+ | 10+ |
| In the registry since | Jan 2026 | Feb 2026 |
| Registry versions | 14 | 32 |
| Documented tools | not extracted - see README | not extracted - see README |
| Env vars extracted | none extracted - see README | 1 |
| Runs | local (stdio) | local (stdio) |
| Endpoint auth | local only | local only |
| Maintenance | actively maintained | actively maintained |
| License | MIT | AGPL-3.0 |
| Language | TypeScript | Python |
| Category rank | #2 of 85 | #3 of 85 |
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
Photoshop MCP
No environment variables were extracted from the README setup. Check the project documentation for other authentication or configuration steps.
Stata MCP
- STATA_MCP__CWD
Which one, for what
Derived from the signals above, not hands-on testing.
Pick Photoshop MCP if…
- → you prefer a TypeScript codebase to extend or audit
- → measured package adoption matters - 13,172 monthly installs
Pick Stata MCP if…
- → you prefer a Python codebase to extend or audit
- → category standing - #3 of 85 maintained design servers
Who's behind them
Photoshop MCP - alisaitteke: 4 MCP servers tracked, 4 maintained, 488 combined stars. Full record.
Stata MCP - sepinetam: 2 MCP servers tracked, 2 maintained, 263 combined stars. Full record.
Not sold on either?
The next-ranked design servers we track:
Quick answers
Is Photoshop MCP better than Stata MCP?
The numbers don't separate them: 13,172 vs 12,422 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 2026-09-18.
Can I use Photoshop MCP and Stata MCP together?
Yes - MCP clients accept multiple servers in one config, so you can enable both design 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?
Photoshop MCP: no environment variables extracted from the README setup; Stata MCP: 1 environment variable extracted from the README setup. Extraction does not rule out other authentication or configuration steps; check each project's current documentation.
Keep exploring: best design 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 2026-09-18.