Spring Ai Mcp Example
What is Spring Ai Mcp Example
spring-ai-mcp-example is a sample implementation of the Model Context Protocol (MCP) using Spring AI, showcasing how to integrate AI capabilities into applications.
Use cases
Use cases include developing chatbots, intelligent data retrieval systems, and applications that require contextual understanding of user inputs.
How to use
To use spring-ai-mcp-example, clone the repository, set up a database, build the MCP server, insert sample data, and start both the MCP server and client. Configure the client with your OpenAI API key and access it via a web browser.
Key features
Key features include easy integration with OpenAI’s API, a sample database setup, and a straightforward client-server architecture using Spring framework.
Where to use
spring-ai-mcp-example can be used in fields such as AI application development, data processing, and any domain requiring context-aware AI interactions.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Spring Ai Mcp Example
spring-ai-mcp-example is a sample implementation of the Model Context Protocol (MCP) using Spring AI, showcasing how to integrate AI capabilities into applications.
Use cases
Use cases include developing chatbots, intelligent data retrieval systems, and applications that require contextual understanding of user inputs.
How to use
To use spring-ai-mcp-example, clone the repository, set up a database, build the MCP server, insert sample data, and start both the MCP server and client. Configure the client with your OpenAI API key and access it via a web browser.
Key features
Key features include easy integration with OpenAI’s API, a sample database setup, and a straightforward client-server architecture using Spring framework.
Where to use
spring-ai-mcp-example can be used in fields such as AI application development, data processing, and any domain requiring context-aware AI interactions.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
This project demonstrates a sample implementation of Model Context Protocol (MCP) using Spring AI.
Installation
Install Ollama
- Please install Ollama by referring to the link below.
https://ollama.com/blog/ollama-is-now-available-as-an-official-docker-image
MCP Server
- git clone this sources
git clone https://github.com/mrjishin/spring-ai-mcp-example.git
- Create a database in mysql (any other database will do, using JPA)
Refer to spring-ai-mcp-server-example/docs/schema.sql or set it as “spring.jpa.hibernate.ddl-auto: create” in the application.yml file and run it to create the table. - Build spring-ai-mcp-server-example (The server source uses QueryDSL, so it must be built first.)
spring: jpa: hibernate: ddl-auto: create
cd ./spring-ai-mcp-server-example/ ./gradlew build
- Insert sample data by referring to the spring-ai-mcp-server-example/docs/data-en.sql file.
- Start MCP server.
./gradlew bootRun
MCP Client
- In application.yml of the spring-ai-mcp-client-example source, change the values of spring.api.openai.api-key to your openai API key.
spring: ai: openai: api-key: <YOUR_OPENAI_API_KEY>
- Start MCP Client.
cd ./spring-ai-mcp-client-example/ ./gradlew bootRun
- Now you can test it in a web browser.
http://localhost:8888/
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
