About Pexels MCP Server
Pexels MCP Server connects AI models to the Pexels API for searching and retrieving photos, videos, and collections. It offers both MCP tools and URI-addressable resources, with attribution details for media.
Key features
- 01Search photos and videos
- 02Browse curated and popular media
- 03Browse collections
- 04Retrieve media details and download links
- 05Access URI-based resources
Use cases
- 01Find photos by query and filters
- 02Locate videos by query and criteria
- 03Browse collection media
- 04Retrieve a specific item's details or link
MCP support
It exposes Pexels API operations as MCP tools and provides URI-addressable resources for photos, videos, and collections.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPexels MCP Server
A Model Context Protocol (MCP) server that provides access to the Pexels API, allowing AI models to search for and retrieve photos, videos, and collections from Pexels.
Features
- Search for photos and videos by query, orientation, size, and color
- Access curated and popular content from Pexels
- Browse Pexels collections
- Get detailed information about specific photos and videos
- Access content via tools or direct URI resources
Requirements
- Node.js 18 or higher
- A Pexels API key (get one at https://www.pexels.com/api/)
Local Development
- Clone the repository
- Install dependencies
pnpm install - Build the project
pnpm build - Run in development mode
PEXELS_API_KEY=your_api_key pnpm dev
Deploying to Smithery
This MCP server is ready to be deployed to Smithery. Follow these steps:
- Add the server to Smithery or claim an existing server
- Go to the Deployments tab (only visible to authenticated owners)
- Deploy the server
- When configuring the deployment, provide your Pexels API key in the configuration settings
API Usage
The server provides the following tools:
Photo Tools
searchPhotos: Search for photos by query (use descriptive keywords for relevant results, e.g., 'Thai hotel reception', 'red sports car driving', not just 'hotel' or 'car'; combine with parameters likeorientation,size,color, andlocalefor refined results), with optional filters for orientation, size, color, locale (e.g., 'en-US', 'es-ES'), page, and results per page. Returns metadata including photo IDs and URLs, plus current API rate limit status.downloadPhoto: Fetches a specific photo by its ID and desired size (optional, defaults to 'original'). Available sizes: 'original', 'large2x', 'large', 'medium', 'small', 'portrait', 'landscape', 'tiny'. Returns a direct download link for the requested image size, suggested filename (including size), and attribution information. The AI client should use its available local tools (likecurlor PowerShell'sInvoke-WebRequest) to download the photo using the provided link.getCuratedPhotos: Retrieve a curated set of photos from Pexels, optionally paginated.getPhoto: Retrieve detailed information about a specific photo by its ID.
Video Tools
searchVideos: Search for videos by query (use descriptive keywords for relevant results, e.g., 'drone footage beach sunset', 'time lapse city traffic', not just 'beach' or 'city'; combine with parameters likeorientationandsizefor refined results), with optional filters for orientation, size, locale (e.g., 'en-US', 'es-ES'), page, and results per page. Returns metadata including video IDs and URLs, plus current API rate limit status.getPopularVideos: Retrieve a list of popular videos from Pexels, with optional filters for dimensions, duration, page, and results per page.getVideo: Retrieve detailed information about a specific video by its ID.downloadVideo: Fetches a specific video by its ID and preferred quality (hd/sd). Returns a direct download link, suggested filename, and attribution information. The AI client should use its available local tools (likecurlor PowerShell'sInvoke-WebRequest) to download the video using the provided link.
Collection Tools
getFeaturedCollections: Retrieve a list of featured collections from Pexels, optionally paginated.: (Commented out in code) Requires OAuth 2.0 authentication, not supported by this server.getMyCollectionsgetCollectionMedia: Retrieve media items (photos or videos) from a specific collection by collection ID, with optional filters for type, sort order, page, and results per page.
Resources
The server provides the following URI-addressable resources:
pexels-photo://{id}: Access a specific photo by IDpexels-video://{id}: Access a specific video by IDpexels-collection://{id}: Access a specific collection by ID
Error Handling
The server attempts to provide informative error messages for common issues like invalid API keys, rate limits, or missing resources. Successful responses also include the current Pexels API rate limit status (remaining requests, reset time) in the output.
Attribution Requirements
When using the Pexels API, you must follow their attribution requirements:
- Always show a prominent link to Pexels (e.g., "Photos provided by Pexels")
- Always credit photographers (e.g., "Photo by John Doe on Pexels")
License
ISC
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.