
Image Resolver
io.github.ahmaddioxidePublished by GitHub account ahmaddioxidev0.2.0Updated Oct 24, 2026
MCP server for context-aware royalty-free image search from Pexels and Unsplash
Overview
A local MCP server that lets an assistant search royalty-free images from Pexels and Unsplash and return structured results with attribution.
- What you can do
- Search royalty-free images by natural-language query, with limit, page and orientation options, merging Pexels and Unsplash results into one structured list of URLs and metadata (dimensions, photographer, tags). Turn free-form text into a clean image search query. Return a single best image for a query, or run several searches in parallel. Generate provider-compliant attribution text for a chosen photographer and source.
- When to use it
- Useful when you want an assistant to find stock or royalty-free photos for a blog header, app hero image, mockup or design draft, and to get ready-to-use credit lines. Best if you already have or are willing to get a free Pexels or Unsplash API key.
- Requirements
- Runs locally over stdio via npx, so Node.js 18 or newer is needed. At least one API key is required: PEXELS_API_KEY or UNSPLASH_ACCESS_KEY, supplied as environment variables. Network access to the Pexels and Unsplash APIs is needed.
Installation
In SourceWeft
- Open Image Resolver in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
MCP Image Resolver Server
An MCP (Model Context Protocol) server that provides royalty-free image search for AI hosts like Cursor, Claude Desktop, VS Code, Windsurf, and more. Ask your AI assistant to find images by natural language—it uses the search_images tool and returns structured results from Pexels and Unsplash.
Features
- search_images — Search for royalty-free images (supports limit, page, orientation)
- extract_image_query — Transform free-form text into an image search query
- get_best_image — Return a single best image for a query
- search_images_batch — Run multiple searches in parallel
- resolve_image_attribution — Generate provider-compliant attribution text
- Pexels & Unsplash — Multi-provider support (free tier for both)
- Unified response — Structured results with url, source, dimensions, photographer, tags
- Works everywhere — Any MCP client that supports stdio servers
Requirements
- Node.js 18+
- At least one API key: Pexels (pexels.com/api) and/or Unsplash (unsplash.com/oauth/applications)
Quick Start (No Installation Required)
No cloning or building needed. Just add this config to your MCP client and it runs via npx automatically:
At least one API key is required. Both are free — get them here:
- Pexels: pexels.com/api
- Unsplash: unsplash.com/oauth/applications
Architecture (High-Level)
Flow: MCP client → stdio → index.ts (registers tools) → search-images.ts → Pexels and Unsplash providers (when keys are set). Results are merged (Pexels first, then Unsplash) and normalized to the unified ImageResult schema.
Client Setup
Cursor
Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
Restart Cursor after config changes.
Claude Desktop
Add to your Claude config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
Via Settings: Developer → Edit Config
Restart Claude Desktop completely after saving.
VS Code
Add to .vscode/mcp.json (workspace) or your user profile mcp.json:
Note: VS Code uses
servers(notmcpServers) and requires"type": "stdio".
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
Refresh the MCP config after changes.
Other MCP Clients
Any client that supports stdio MCP servers (Amp, Continue.dev, Amazon Q, etc.) can use this server:
- Command:
npx - Args:
["-y", "@ahmaddioxide/mcp-image-resolver"] - Env:
{ "PEXELS_API_KEY": "your-key", "UNSPLASH_ACCESS_KEY": "your-key" }(at least one required)
Usage
Once configured, ask your AI assistant to find images in natural language. It will call the search_images tool automatically.
Example prompts:
- "Find royalty-free images of a sunset mosque"
- "Search for zen yoga images suitable for a wellness app"
- "Get some minimalist office workspace photos"
- "Find images for a cooking blog header"
The tool returns image URLs and metadata. Use the links to view or download images.
Tool Schema
Response: JSON with results array of { url, source, width, height, photographer, tags }. Each result includes source ("Pexels" or "Unsplash") for attribution.
Note: When both providers are configured, results are merged with Pexels first, then Unsplash. Use limit: 20 or higher to see results from both providers in a single search.
Testing
Example prompts to verify the tools:
- "Search for mountain landscape with limit 20 and show me which results came from Pexels vs Unsplash."
- "Use extract_image_query on: I need a hero image for a meditation app with mountains."
- "Use search_images_batch for 'sunset mosque', 'pakistani flag', and 'zen yoga'."
- "Get a single best image for coffee shop and generate attribution for it."
Development
To contribute or run locally, clone the repo and build from source:
Or run in development mode without building, using tsx:
Attribution
Images are sourced from Pexels and Unsplash. Per their API terms:
- Provide prominent links to Pexels and Unsplash
- Credit photographers: "Photo by [Name] on Pexels" / "Photo by [Name] on Unsplash"
- Response metadata includes
photographerandsource; useresolve_image_attributionfor compliant text
Contributing
Contributions are welcome. Please read CONTRIBUTING.md for guidelines and CODE_OF_CONDUCT.md for community standards. See SECURITY.md for vulnerability reporting.
License
MIT — see LICENSE.
Source: README.md at commit e3ddd9f
Tools
0Version history
1- v0.2.0LatestSep 16, 2026
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