Glassypic vs Runapi AI MCP
A side-by-side look at the Glassypic 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 Glassypic 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 Glassypic when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- You want tools like
optimize_image, login, logout.
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 have the keys it needs:
RUNAPI_API_KEY. - 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 | 61/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed | RUNAPI_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 54 |
| Directory activity | 2 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 5 | 9 |
| Full listing | View Glassypic | View Runapi AI MCP |
Tools & capabilities
Glassypic tools 5
optimize_imageOptimize an image: smart lossy compression (typically 60-80% size reduction), optional resize/upscale/format conversion, and AI-generated SEO metadata. Accepts absolute local file paths or remote URLs. In remote/API mode, only remote URLs are supported. Supported input formats: JPG, PNG, WebP, AVIF, GIF, SVG, ICO, HEIC, TIFF, BMP (max 50 MB). Supported output formats: JPG, PNG, WebP, AVIF, GIF, SVG, ICO. Credits: 3 to compress (always), +1 if width or height is set, +2 to upscale, +1 for SEO tags (on by default). A full pipeline is 7 credits. Upscale is charged whether you request it or the server adds it automatically — it does so whenever a resize target exceeds the source by more than 1.2x, so a resize-only call on a small image also costs 7. SVG or ICO output is a flat 1 credit, overriding everything above. Animated GIFs are billed per frame: (per-frame operations x frames) + 1 if tags, up to 601 credits at the 100-frame limit — confirm_gif_cost gates that path. GIFs are excluded from automatic upscaling. Guest (unregistered): 20 credits/day, no signup. Log in with the login tool for more credits — registered Free tier is 30/day. Use status tool to check remaining credits before batch processing.loginLog in to your GlassyPic account via browser to unlock more credits. Opens a browser window where you complete login (Google, Facebook, or email). After login, MCP automatically picks up your account with shared credits across web and MCP. Registered accounts receive a larger credit allowance than guest sessions; use the status tool to read the account's actual tier and remaining credits. Your access token and email are stored locally at ~/.glassypic/session.json (file mode 0600) until you run logout.logoutLog out of your GlassyPic account. Reverts to guest session (20 free credits/day). Your web app account is not affected.statusCheck your GlassyPic account status: login state, tier, credits remaining, and credit reset time. Use this before batch processing to verify sufficient credits.upgradeOpen the GlassyPic pricing page in the user's browser, where the account's plan can be reviewed and changed. Call this only when the user asks to change or review their plan.
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.
Glassypic
{
"mcpServers": {
"glassypic": {
"command": "npx",
"args": [
"-y",
"@glassypic/mcp-server@latest"
]
}
}
}
Runapi AI MCP
{
"mcpServers": {
"runapi-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/mcp"
],
"env": {
"RUNAPI_API_KEY": "YOUR_RUNAPI_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Glassypic 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 Glassypic 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.
Glassypic has no declared pricing — check the project's own site. 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 glassypic and runapi-ai-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Glassypic has a quality signal of 61/100 (Good) with 2 views, 0 installs and 2 GitHub stars. Runapi AI MCP has 68/100 (Great) with 3 views, 0 installs and 54 GitHub stars.