MCP Server Pexels vs MCP Video Analyzer
A side-by-side look at the MCP Server Pexels and MCP Video Analyzer 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 MCP Video Analyzer 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 MCP Video Analyzer 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
analyze_video, analyze_videos, get_transcript.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 44/100 · Fair | 69/100 · 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 | 95 |
| Directory activity | 3 views 0 installs 0 upvotes | 19 views 3 installs 3 upvotes |
| Tools | 3 | 8 |
| Full listing | View MCP Server Pexels | View MCP Video Analyzer |
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
MCP Video Analyzer tools 8
analyze_videoFull analysis: transcript + key frames + OCR + timeline + metadataanalyze_videosBatch version, one structured result per source (resumable)get_transcriptTranscript only (native captions or Whisper fallback)get_metadataMetadata + comments + chapters, no downloadget_framesKey frames only (scene-change or dense 1 fps)analyze_momentDeep-dive on a time range (burst frames + transcript + OCR)get_frame_atSingle frame at a timestampget_frame_burstN frames across a narrow window (motion/animation)
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.
MCP Video Analyzer
{
"mcpServers": {
"guimatheus92-mcp-video-analyzer": {
"command": "npx",
"args": [
"-y",
"mcp-video-analyzer@latest"
]
}
}
}
Frequently asked questions
MCP Server Pexels is categorized under Multimedia Process and uses an install path we have not confirmed yet. MCP Video Analyzer belongs to Multimedia Process and uses a local stdio subprocess. Pick MCP Server Pexels for multimedia process work and MCP Video Analyzer 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. MCP Video Analyzer 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 guimatheus92-mcp-video-analyzer 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. MCP Video Analyzer has 69/100 (Great) with 19 views, 3 installs and 95 GitHub stars.