MCP Server Example Image Block
An example MCP server that returns random images via the Lorem Picsum API, demonstrating how the MCP protocol handles image content blocks.
rating : 2 points
downloads : 13
What is the Random Image MCP Server?
This is a demonstration - style MCP server designed to show how to return image content through the Model Context Protocol. It calls the public Lorem Picsum image API to randomly retrieve and return image content.How to use the Random Image MCP Server?
Simply configure the server information in an application that supports the MCP protocol (such as VS Code or Claude), and then call the 'get_random_image' tool to obtain a random image.Applicable Scenarios
Suitable for scenarios where you need to demonstrate MCP image functionality, test image integration, or quickly obtain random images.Main Features
Random Image RetrievalRetrieve high - quality random images via the Lorem Picsum API
MCP Image Block SupportDemonstrate how to return image content blocks according to the MCP specification
Advantages and Limitations
Advantages
Easy to use, no complex configuration required
Demonstrate the standard implementation method of MCP image blocks
Based on the stable and reliable Lorem Picsum API
Limitations
Only provides random images, cannot specify specific images
The functionality is relatively single, mainly for demonstration purposes
Relies on external API services
How to Use
Configure the MCP Server
Add server information in the VS Code settings or MCP configuration file
Call the Image Tool
Call the 'get_random_image' tool in an application that supports MCP
Usage Examples
Get a Random Image in VS CodeAfter configuring the server, call the image tool in the MCP - supported plugin of VS Code
Test MCP Image FunctionalityDevelopers can use this server to test their MCP clients' support for image blocks
Frequently Asked Questions
What is this server used for?
Do I need to set up my own image service?
Can I get images of a specific theme?
Related Resources
Model Context Protocol Specification
The official specification for image content in the MCP protocol
Lorem Picsum API
The random image API service used
GitHub Repository
Project source code
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points