- Step1: Choose the appropriate MCP server based on your resource needs.
- Step2: Install or deploy the MCP server following the provided documentation.
- Step3: Configure the server with necessary API keys, access controls, and endpoints.
- Step4: Connect your AI models or clients to the MCP server via APIs or SDKs.
- Step5: Use the MCP interface to execute commands, fetch data, or automate tasks.