Photoshop MCP vs Runapi AI MCP
A side-by-side look at the Photoshop MCP and Runapi AI MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Photoshop MCP for multimedia process work as a local process; choose Runapi AI MCP for multimedia process as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Photoshop MCP when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
Choose Runapi AI MCP when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You want tools like
list_models, get_model_info, list_actions.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 52/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 709 | 56 |
| Directory activity | 7 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | Not listed | 9 |
| Full listing | View Photoshop MCP | View Runapi AI MCP |
Tools & capabilities
Photoshop MCP tools
No tool names declared yet. Check the project README from the listing page.
Runapi AI MCP tools 9
list_modelsList RunAPI models from the embedded catalog. Optional filters: modality, service, or action.get_model_infoGet supported endpoint, current runtime pricing, and input constraints for a RunAPI model slug. Add service and action when the model supports multiple endpoints.list_actionsList RunAPI endpoint names grouped by output modality.check_pricingReturn current runtime pricing for a RunAPI model/action pair.search_promptsSearch RunAPI prompt examples by modality, category, tags, text query, model, or featured status. Free, no API key required.check_balanceReturn the authenticated RunAPI account balance and spending metrics.create_taskRun a RunAPI operation with a caller-generated idempotency key. Asynchronous operations can optionally poll until completion.get_taskFetch the current status and latest payload for an existing RunAPI task.loginAuthenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Photoshop MCP
{
"mcpServers": {
"photoshop-mcp": {
"command": "npx",
"args": [
"-y",
"-p",
"@alisaitteke/photoshop-mcp",
"ui"
]
}
}
}
Runapi AI MCP
{
"mcpServers": {
"runapi-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/mcp"
]
}
}
}
Frequently asked questions
Photoshop MCP is categorized under Multimedia Process and uses a local stdio subprocess. Runapi AI MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Photoshop MCP for multimedia process work and Runapi AI MCP for multimedia process.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Photoshop MCP is listed as free. Runapi AI MCP is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add photoshop-mcp and runapi-ai-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Photoshop MCP has a quality signal of 52/100 (Good) with 7 views, 0 installs and 709 GitHub stars. Runapi AI MCP has 68/100 (Great) with 5 views, 0 installs and 56 GitHub stars.