mcp-pexels — Pexels MCP server for Claude, Cursor, and other AI agents

A Model Context Protocol server that exposes the Pexels API — free stock photos, videos, and curated collections — as MCP tools that any compatible AI client (Claude Desktop, Claude Code, Cursor, Cline, Continue, etc.) can call directly from a chat.

📦 npm: mcp-pexels · 🏷 Latest release: v1.0.0 · 💻 Source: developer-ishan/mcp-pexels

Photos & videos provided by Pexels.

Drop-in config

{
  "mcpServers": {
    "pexels": {
      "command": "npx",
      "args": ["-y", "mcp-pexels"],
      "env": { "PEXELS_API_KEY": "your_key_here" }
    }
  }
}

Paste into your MCP client's config, restart, and the nine pexels_* tools are live. Get a free key at https://www.pexels.com/api/.

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Table of contents

• What can you build with this?
• Capabilities — nine tools
• Connect to your MCP client
  • Claude Desktop
  • Claude Code
  • Cursor
  • Cline (VS Code)
  • Continue.dev
  • Generic / other clients
• Example prompts
• How it compares
• FAQ
• Requirements
• Development
• Releasing
• Contributing
• Attribution & License

---

What can you build with this?

Once mcp-pexels is connected to an AI client, the agent can pull royalty-free photos and videos straight into its workflow. A few concrete uses:

• Slide-deck and document illustration — "Find me a landscape photo of mountains at sunset for slide 3" → the agent searches Pexels, picks one, and embeds it.
• Blog post / social media drafting — "Suggest three thumbnail options for an article about remote work" → returns three Pexels URLs with photographer credit.
• Background research for video editing — "Show me popular drone footage under 30 seconds in 4K" → uses pexels_popular_videos with size and duration filters.
• Mood boards — "Build me a mood board of warm-toned coffee shop photos" → searches with color: "orange".
• Coding agents — generate CSS/HTML with realistic placeholder imagery instead of lorem-pixel boxes.
• Curated collections — pull a specific Pexels collection (e.g. company-owned shots tagged on Pexels) into the agent's context.

Because every response includes a _rateLimit object, the agent can self-throttle and respect the Pexels free-tier quota (200 req/hour, 20 000/month).

---

Capabilities — nine tools

Domain	Tool	What it does
Photos	pexels_search_photos	Search photos by query with orientation / size / color / locale filters.
Photos	pexels_curated_photos	Fetch the Pexels team's real-time curated photo feed.
Photos	pexels_get_photo	Retrieve a single photo by its numeric id.
Videos	pexels_search_videos	Search videos by query with orientation / size / locale filters.
Videos	pexels_popular_videos	Fetch popular videos with optional width / height / duration constraints.
Videos	pexels_get_video	Retrieve a single video by its numeric id.
Collections	pexels_featured_collections	List Pexels featured collections.
Collections	pexels_my_collections	List the authenticated user's own collections.
Collections	pexels_collection_media	Retrieve the photos and videos inside a specific collection.

Each tool response is the raw Pexels JSON merged with a top-level _rateLimit field exposing limit, remaining, and reset (UNIX timestamp).

See docs/tools/ for per-tool parameter tables and example payloads.

---

Connect to your MCP client

All paths below use npx -y mcp-pexels — no global install required. Replace your_key_here with a real Pexels API key.

Claude Desktop

Option 1 — one-click .mcpb install (recommended). Download the latest mcp-pexels-*.mcpb from the Releases page, double-click the file, paste your Pexels API key when Claude Desktop prompts, and click Install.

Option 2 — manual JSON config. Edit claude_desktop_config.json:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "pexels": {
      "command": "npx",
      "args": ["-y", "mcp-pexels"],
      "env": { "PEXELS_API_KEY": "your_key_here" }
    }
  }
}

Restart Claude Desktop.

Claude Code

claude mcp add pexels -e PEXELS_API_KEY=your_key_here -- npx -y mcp-pexels

Or edit ~/.claude.json directly and add the same mcpServers block as above.

Cursor

Edit ~/.cursor/mcp.json (global) or .cursor/mcp.json (per-project):

{
  "mcpServers": {
    "pexels": {
      "command": "npx",
      "args": ["-y", "mcp-pexels"],
      "env": { "PEXELS_API_KEY": "your_key_here" }
    }
  }
}

Cline (VS Code)

Open the Cline extension settings → MCP Servers → Edit Settings. Add:

{
  "mcpServers": {
    "pexels": {
      "command": "npx",
      "args": ["-y", "mcp-pexels"],
      "env": { "PEXELS_API_KEY": "your_key_here" }
    }
  }
}

Continue.dev

In ~/.continue/config.json:

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "npx",
          "args": ["-y", "mcp-pexels"],
          "env": { "PEXELS_API_KEY": "your_key_here" }
        }
      }
    ]
  }
}

Generic / other clients

If your client supports stdio MCP servers it just needs command, args, and env. Use the same shape as Cursor / Claude Desktop above. For inspector / debugging:

export PEXELS_API_KEY=your_key_here
npx -y @modelcontextprotocol/inspector npx -y mcp-pexels

This opens a browser UI where you can call each tool interactively.

---

Example prompts

Once connected, try prompts like:

• "Find me five landscape photos of mountains at golden hour. Make sure they're at least full HD."
• "Get me popular Pexels videos shorter than 15 seconds, 1080p or higher, of city traffic."
• "Pull photo id 2014422 and tell me the photographer."
• "List the featured Pexels collections — I want one I can browse for cooking photos."
• "Search videos of 'forest' in portrait orientation; pick the highest-quality HD file for me."
• "Show me Pexels photos with predominantly orange tones suitable for a fall-themed newsletter header."

The agent will pick the appropriate tool, send the right parameters, and include photographer/videographer credit as part of its answer.

---

How it compares

	mcp-pexels	Raw Pexels REST API	Image-only general MCP servers
Photos	✅	✅	varies
Videos	✅	✅	usually ❌
Collections	✅	✅	❌
Rate-limit headers exposed to agent	✅	❌ (raw headers, agent must parse)	❌
Zod-validated input	✅	❌	varies
npx-installable, zero config	✅	❌	varies
Type-safe TS source	✅	n/a	varies
MIT-licensed	✅	n/a	varies

If you only need photos and you already have a generic image MCP server wired up, that may be enough. If you want first-class video and collection support with rate-limit awareness, this is purpose-built for it.

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FAQ

How do I get a Pexels API key?

Sign up at https://www.pexels.com/api/ — keys are issued instantly and the free tier allows 200 requests/hour and 20 000 requests/month.

Does this cost anything?

No. The Pexels API is free, the npm package is free (MIT), and mcp-pexels itself does not call any paid service.

Will this work offline?

No — the server is a thin wrapper over the Pexels HTTPS API and requires network access.

Can I use Pexels content commercially?

Yes, per the Pexels license, but you must attribute the platform and (when possible) the photographer. See Attribution.

Does it work with Claude.ai (browser)?

Claude.ai's web product doesn't yet support stdio MCP servers — only Claude Desktop, Claude Code, and the API do. Anthropic is rolling out browser MCP support, so this should change.

Is there a hosted / SaaS version?

No. Run it locally via npx. Because Pexels API keys are per-user, hosting a shared instance doesn't make sense.

How do I update to a newer version?

npx always fetches the latest published version. If you've installed globally, run npm update -g mcp-pexels.

Can I add more Pexels endpoints?

The Pexels API surface is fully implemented (9/9 endpoints as of Pexels API v1). New endpoints will be added via PR — see Contributing.

Does it work with @modelcontextprotocol/inspector?

Yes:

export PEXELS_API_KEY=your_key_here
npx -y @modelcontextprotocol/inspector npx -y mcp-pexels

How is rate limiting handled?

Every tool response includes a _rateLimit object with limit, remaining, and reset (UNIX timestamp). The agent can read this and self-throttle. If Pexels returns 429, the server surfaces it as a PexelsApiError so the agent sees the failure.

Where does my API key go?

It is read from the PEXELS_API_KEY env var on the local process. It never leaves your machine except in Authorization headers to api.pexels.com. Nothing is logged.

---

Requirements

• Node.js ≥ 20 (uses native fetch and --env-file)
• A free Pexels API key — request one here

---

Development

git clone https://github.com/developer-ishan/mcp-pexels.git
cd mcp-pexels
npm install
echo "PEXELS_API_KEY=your_key_here" > .env

npm test           # 42 mocked vitest cases, no network
npm run build      # tsc → dist/
npm run dev        # tsx watch
npm run test:watch # vitest in watch mode
npm start          # node --env-file=.env dist/index.js

Project layout

src/
├── index.ts                  # MCP server entrypoint (stdio)
├── http/
│   ├── client.ts             # PexelsClient (injectable fetch for tests)
│   └── types.ts              # PexelsApiError, RateLimit, PexelsResponse
├── tools/
│   ├── index.ts              # composes the three domain factories
│   ├── photos.ts             # 3 photo tools
│   ├── videos.ts             # 3 video tools
│   └── collections.ts        # 3 collection tools
└── types/
    ├── tool.ts               # defineTool helper + ToolDefinition
    ├── photos.ts
    ├── videos.ts
    └── collections.ts

tests/
├── helpers/mockClient.ts     # makeMockClient() — fake fetch via vitest mocks
├── photos.test.ts            # 17 cases
├── videos.test.ts            # 13 cases
└── collections.test.ts       # 12 cases

Testing approach

Tests construct a PexelsClient with a vi.fn() fetchImpl returned by makeMockClient(responses). No real HTTP is performed. Each tool is exercised for:

1. Happy path — URL serialization and Authorization header.
2. Error mapping — non-2xx → PexelsApiError with status and body.
3. Zod validation — required params, enum membership, integer bounds.

---

Releasing

This repo uses a tag-driven release workflow (.github/workflows/release.yml):

1. Bump the version: npm version patch (or minor / major) — creates a commit and tag.
2. Push: git push && git push --tags.
3. The workflow runs tests, builds, publishes to npm with provenance using the NPM_TOKEN repository secret, builds the .mcpb bundle via npm run pack:mcpb, and creates a GitHub release with auto-generated notes that includes the bundle as a downloadable asset.

See CHANGELOG.md for version history.

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Contributing

Issues and pull requests welcome. See CONTRIBUTING.md for the development workflow and SECURITY.md to report a vulnerability privately.

If you ship mcp-pexels inside a tool or product, open a PR adding it to the "Used by" list in CONTRIBUTING.md.

Listed on / submit to

• Smithery — auto-discovered via smithery.yaml.
• mcp.so — community directory.
• awesome-mcp-servers — curated GitHub list.
• modelcontextprotocol/servers — Anthropic's official directory.

See docs/MARKETPLACES.md for the submission cheatsheet.

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Attribution & License

When you use Pexels content, please follow the Pexels API guidelines:

• Show a prominent link to Pexels — e.g. "Photos provided by Pexels".
• Credit photographers/videographers when possible — e.g. "Photo by John Doe on Pexels".

The mcp-pexels package itself is released under the MIT License.