Solon Ai
Solon-AI is a Java AI application development framework for all scenarios, supporting multiple AI capabilities and can be embedded in various frameworks for use.
2.5 points
8.8K

What is Solon-AI MCP Server?

The MCP (Model Context Protocol) server is the core component of the Solon-AI framework, providing standardized AI tool call interfaces. It supports multi-endpoint configuration and Server-Sent Events (SSE), allowing developers to easily integrate AI capabilities into various applications.

How to use the MCP Server?

Define service endpoints through annotations or programming methods. After configuring tool methods, you can call them via the HTTP/SSE protocol. It supports both synchronous and streaming responses.

Applicable Scenarios

Suitable for scenarios where AI capabilities need to be service-oriented, such as intelligent customer service systems, data analysis toolchains, and automated process engines.

Main Features

Multi-endpoint Support
A single service can configure multiple independent endpoints, and each endpoint can be bound to different tool sets.
SSE Streaming Response
Real-time data stream push is achieved through Server-Sent Events.
Flexible Tool Binding
Supports two tool registration methods: annotation-based and programming-based.
Advantages
Seamlessly integrated with the Solon ecosystem and supports embedding in mainstream frameworks such as Spring Boot
Lightweight design with fast interface response speed
Provides support for both Java and HTTP protocols
Limitations
Currently mainly targeted at the Java technology stack
The number of SSE connections is limited by server resources
Requires basic Java development knowledge

How to Use

Define Service Endpoints
Create endpoints using the @McpServerEndpoint annotation or the McpServerEndpointProvider builder.
Register Tool Methods
Add callable tools through the @ToolMapping annotation or programming methods.
Client Call
Call the registered tools through HTTP or SSE endpoints.

Usage Examples

Weather Forecast Service
Build an AI tool service for weather query.
Document Analysis Service
Build a PDF document parsing and summary generation service.

Frequently Asked Questions

Can MCP be used independently of the Solon framework?
Which communication protocols are supported?
How to ensure interface security?

Related Resources

Official Documentation
Complete documentation for the Solon-AI framework
Embedded Example Code Repository
A sample project showing how to embed it into other frameworks
Solon Main Project
Underlying application development framework

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
8.7K
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
9.4K
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
6.2K
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
8.6K
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
6.5K
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
6.2K
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
9.6K
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
7.7K
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
18.9K
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
32.2K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.0K
4.3 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
21.7K
4.3 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#
27.0K
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
58.6K
4.5 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
42.2K
4.8 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
19.9K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase