MCP Server Pexels vs Figma Ui MCP
A side-by-side look at the MCP Server Pexels and Figma Ui MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Server Pexels for multimedia process work; choose Figma Ui 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 MCP Server Pexels when
- You need dedicated capabilities in the Multimedia Process domain.
- Its auth model fits you: API key required.
- You have the keys it needs:
PEXELS_API_KEY. - You want tools like
pexels_search_photos, pexels_search_videos, pexels_get_details.
Choose Figma Ui MCP when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
figma_status, figma_write, figma_read.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 44/100 · Fair | 71/100 · Great |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | API key required | No auth required |
| Pricing | Free | Free |
| Required env vars | PEXELS_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 265 |
| Directory activity | 3 views 0 installs 0 upvotes | 6 views 0 installs 0 upvotes |
| Tools | 3 | 5 |
| Full listing | View MCP Server Pexels | View Figma Ui MCP |
Tools & capabilities
MCP Server Pexels tools 3
pexels_search_photosSearch for photos by querypexels_search_videosSearch for videospexels_get_detailsGet details by ID and type
Figma Ui MCP tools 5
figma_statusCheck whether the Figma plugin bridge is connected. Always call this first to confirm the plugin is running before any other tool.figma_writeExecute JavaScript code to CREATE or MODIFY designs in Figma. ⚠️ MANDATORY: Call figma_docs BEFORE writing any design code. Skipping figma_docs causes hardcoded colors, wrong sizing, broken layouts, and low-quality UI. Use the `figma` proxy object — all methods return Promises, use async/await. Operations: create, modify, delete, clone, group, ungroup, flatten, resize, set_selection, set_viewport, batch (multiple ops in one call). Design Tokens: createVariableCollection, createVariable, setVariableValue, addVariableMode, renameVariableMode, removeVariableMode, applyVariable, setFrameVariableMode, clearFrameVariableMode, createPaintStyle, createTextStyle, createComponent. Prototyping: setReactions, getReactions, removeReactions (click/hover/press → navigate/overlay/swap with Smart Animate transitions). Scroll: setScrollBehavior (overflowDirection: NONE/HORIZONTAL/VERTICAL/BOTH). Variants: setComponentProperties, swapComponent, getComponentProperties. Component property definitions (master-side, required for instance text overrides to recalc auto-layout): addComponentProperty (TEXT/BOOLEAN/INSTANCE_SWAP), bindComponentPropertyToText, removeComponentProperty. The code runs in a sandboxed VM: no access to require, process, fs, fetch, or network.figma_readREAD design data from Figma — extract node trees, colors, typography, spacing, and screenshots. Use to understand an existing design before generating code, or to inspect what's on the canvas.figma_docsGet the API reference and design rules for figma_write. Call with no args first — returns quick-start guide + critical rules. Then load specific sections as needed: section='rules' (design principles, token rules, layer order, component-first), section='layout' (auto-layout, button/card/badge/progress/mobile rules), section='api' (create/modify/delete/clone/batch/read operations + workflow), section='tokens' (variables, multi-mode, paint styles, text styles), section='icons' (loadImage, loadIcon, loadIconIn, icon libraries, coloring, sizing). Always call figma_docs BEFORE any figma_write code.figma_rulesGenerate a design system rule sheet from the current Figma file — aggregates color tokens, typography styles, variables (all modes), and component catalog into a single markdown block. Equivalent to official Figma MCP's create_design_system_rules. Call once at the start of a design-to-code session to give the AI full context: what tokens to use, what text styles exist, which components are available. Re-run when the design system changes.
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.
MCP Server Pexels
No confirmed install command for MCP Server Pexels yet — follow the setup steps linked from its listing page rather than a guessed package name.
Figma Ui MCP
{
"mcpServers": {
"figma-ui-mcp": {
"command": "npx",
"args": [
"-y",
"figma-ui-mcp"
]
}
}
}
Frequently asked questions
MCP Server Pexels is categorized under Multimedia Process and uses an install path we have not confirmed yet. Figma Ui MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick MCP Server Pexels for multimedia process work and Figma Ui 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. MCP Server Pexels has no confirmed install command yet — follow its own setup instructions.
MCP Server Pexels is listed as free. Auth: api key required. Figma Ui MCP is listed as free. Auth: no auth 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 afshinator-mcp-server-pexels and figma-ui-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Server Pexels has a quality signal of 44/100 (Fair) with 3 views, 0 installs and 2 GitHub stars. Figma Ui MCP has 71/100 (Great) with 6 views, 0 installs and 265 GitHub stars.