MCP Server Example Image Block
M

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.
2 points
6.0K

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 Retrieval
Retrieve high - quality random images via the Lorem Picsum API
MCP Image Block Support
Demonstrate how to return image content blocks according to the MCP specification
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 Code
After configuring the server, call the image tool in the MCP - supported plugin of VS Code
Test MCP Image Functionality
Developers 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
9.5K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.6K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.6K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
10.0K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.5K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.1K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
9.2K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.3K
5 points
G
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
19.1K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
56.9K
4.3 points
M
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
29.3K
5 points
N
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
16.8K
4.5 points
F
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
52.4K
4.5 points
U
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#
24.2K
5 points
M
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
36.7K
4.8 points
C
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
77.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase