Solon Ai MCP Embedded Examples
S

Solon Ai MCP Embedded Examples

Collection of Solon AI MCP embedded example projects
2 points
8.9K

What are Solon AI MCP embedded examples?

This is a set of example projects demonstrating how to embed the MCP server in different Java frameworks. The MCP server is used to handle model context protocol communication.

How to use these examples?

Each example project shows how to integrate the MCP server in a specific framework. Developers can choose the example corresponding to their framework as a reference.

Applicable scenarios

Suitable for scenarios where AI model services need to be integrated into Java applications, especially projects using JFinal, Solon, SpringBoot, or Vert.x frameworks.

Main features

Multi-framework support
Provide integration examples for multiple popular Java frameworks such as JFinal, Solon, SpringBoot, and Vert.x
Port configuration
Some examples show the configuration method of using an independent port for the MCP server
Advantages
One-stop solution, providing integration references for multiple frameworks
Clear code structure, easy to understand and reuse
Include independent port configuration examples to meet different deployment requirements
Limitations
Only provide basic integration examples, advanced functions need to be extended by yourself
The documentation is relatively brief, and some details need to be checked in the code

How to use

Select the example corresponding to your framework
Select the corresponding example project according to the framework used in your project
Clone or download the example code
Get the code of the example project you need
Refer to the integration method
View the integration code in the example and apply it to your project

Usage cases

Integrate MCP in a SpringBoot 3 project
Use the solon-ai-mcp-embedded-springboot3 example to integrate the MCP server in a SpringBoot 3 application
Use an independent port in a Vert.x application
Use the solon-ai-mcp-embedded-vertx_port example to configure an independent port for the MCP in a Vert.x application

Frequently Asked Questions

How to choose between standard integration and independent port integration?
Can these examples be directly used in a production environment?

Related resources

Solon framework official website
Official documentation of the Solon framework
GitHub repository
Source code of the example project

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.5K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.7K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.4K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.7K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
9.1K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
10.2K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
9.2K
4 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
19.3K
4.5 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
32.7K
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
23.2K
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
65.2K
4.3 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
59.7K
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#
29.0K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
20.0K
4.5 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
90.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase