brave-image-mcp
Integrates with the Brave Image Search API to search for images, returning URLs, thumbnails, dimensions, source pages, and confidence scores. Supports single and batch queries with filters like country, language, safesearch, and spellcheck.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@brave-image-mcp search for beautiful sunset landscapes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
brave-image-mcp
An MCP (Model Context Protocol) server for Brave Image Search API. Search images directly from AI assistants like Claude.
Author: Ilker Tosun License: MIT
Features
search_images— Search images with full filter support (country, language, safesearch, spellcheck)search_images_batch— Run multiple image searches in a single call (up to 10 queries)Returns image URLs, thumbnails, dimensions, source pages, and confidence scores
Proper error handling for rate limits, invalid keys, and bad parameters
Related MCP server: Brave Search MCP Server
Requirements
Node.js >= 18
A Brave Search API key → Get one here
Installation
git clone https://github.com/ilker-tosun/brave-image-mcp.git
cd brave-image-mcp
npm install
npm run buildConfiguration
Set your API key as an environment variable:
export BRAVE_API_KEY=your_api_key_hereOr add it to your MCP client config (see below).
Usage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"brave-image-mcp": {
"command": "node",
"args": ["/absolute/path/to/brave-image-mcp/dist/index.js"],
"env": {
"BRAVE_API_KEY": "your_api_key_here"
}
}
}
}Usage with n8n (MCP Client Node)
Build the project (
npm run build)In n8n, add an MCP Client node
Set transport to stdio
Command:
node /absolute/path/to/brave-image-mcp/dist/index.jsAdd environment variable:
BRAVE_API_KEY=your_api_key_here
Tools
search_images
Search images for a single query.
Parameter | Type | Required | Description |
| string | ✅ | Search query (max 400 chars, 50 words) |
| number | ❌ | Results to return (1–200, default: 20) |
| string | ❌ | 2-letter country code or |
| string | ❌ | Language code (e.g. |
|
| ❌ | Content filter level |
| boolean | ❌ | Enable spell checking (default: true) |
search_images_batch
Search images for multiple queries at once.
Parameter | Type | Required | Description |
| string[] | ✅ | Array of queries (max 10) |
| number | ❌ | Results per query (1–200, default: 10) |
| string | ❌ | 2-letter country code or |
| string | ❌ | Language code |
|
| ❌ | Content filter level |
| boolean | ❌ | Enable spell checking |
Rate Limits
Plan | Limit |
Free | 1 req/sec |
Pro | 20 req/sec |
License
MIT © Ilker Tosun
Available Tools
2 toolssearch_imagesB
Search for images using the Brave Image Search API. Returns image URLs, thumbnails, dimensions, source pages, and metadata.
Inputs: query (required), count, country, safesearch, +2 more.
search_images_batchA
Search for images using multiple queries in a single call. Runs queries sequentially and returns combined results. Useful for collecting images across several topics at once.
Inputs: queries (required), count, country, safesearch, +2 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 2 tools
The two tools are clearly differentiated by batch vs single query, and descriptions explicitly state this. However, since both are image searches, an agent might initially be unsure which to use without reading carefully.
Both tools follow the same verb_noun pattern with a descriptive suffix ('batch' for the multi-query variant). The naming is consistent and predictable.
With only two tools, the server feels thin for a general-purpose image search API. While the scope is narrow, a single search tool with a batch flag could have sufficed, making the current count borderline.
The core search capability is well covered, including a batch mode for multiple queries. Minor gaps exist, such as missing pagination or filtering options, but for an image search server the essential operations are present.
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