• Go to the Ollama website and download Ollama for your operating system.
• Follow the instructions to install Ollama on your machine.

• For this project, install the llama3.2:1b model:

  ollama pull llama3.2:1b
  

  (Replace with the specific command for your model and Ollama version if needed.)

• Clone this project (mcp-client):

  git clone https://github.com/AbhijeetMajumdar/mcp-client

• Clone the supporting REST API project (custom-mcp):

  git clone https://github.com/AbhijeetMajumdar/custom-mcp

• Make sure both Ollama and the custom-mcp server are running.
• Start the Spring AI Model Context Server (mcp-client) as you would a standard Spring Boot application (e.g., using mvn spring-boot:run or via your IDE).

If you need to terminate the custom-mcp process (for example, if it’s using port 8060), you can do the following in Windows:

netstat -aon | findstr :8060

Find the PID (e.g., 20740), then:

taskkill /pid 20740 /f

Use curl to test the API endpoints:

curl --location 'http://localhost:8080/api/chat' --header 'Content-Type: application/json' --data '{"message" : "What is the latest AAPL price?"}'
curl --location 'http://localhost:8080/api/chat' --header 'Content-Type: application/json' --data '{"message" : "What is today's date?"}'
curl --location 'http://localhost:8080/api/chat' --header 'Content-Type: application/json' --data '{"message" : "Show my Chase account 123456 holdings."}'

Let me know if you need the setup steps for a specific OS or have questions about configuration!