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Azure Java SDK MCP Server

MCP_CONFIG.md•1.74 kB
# MCP Server Configuration Examples This document shows how to configure various AI assistants to use your MCP server. ## Claude Desktop Configuration Add this to your Claude Desktop configuration file: ### Windows Location: `%APPDATA%\Claude\claude_desktop_config.json` ### macOS Location: `~/Library/Application Support/Claude/claude_desktop_config.json` ```json { "mcpServers": { "sdk-ai-mcp": { "command": "node", "args": ["C:\\path\\to\\your\\project\\index.js"], "env": {} } } } ``` ## Continue.dev Configuration Add this to your Continue configuration: ```json { "mcpServers": [ { "name": "sdk-ai-mcp", "command": "node", "args": ["./index.js"], "cwd": "/path/to/your/project" } ] } ``` ## Generic MCP Client Configuration For any MCP-compatible client: - **Command**: `node` - **Arguments**: `["index.js"]` - **Working Directory**: Path to this project - **Communication**: stdio (standard input/output) ## Testing the Connection 1. Start your MCP client with the configuration above 2. The server should automatically connect via stdio 3. You can then use the available tools: - `echo` - Echo back text - `get_time` - Get current time - `calculate` - Perform arithmetic ## Environment Variables You can set these environment variables for additional configuration: - `NODE_ENV` - Set to "development" for debug logging - `MCP_SERVER_NAME` - Override the server name (default: "example-mcp-server") ## Troubleshooting If the connection fails: 1. Check that Node.js is installed and accessible 2. Verify the path to `index.js` is correct 3. Ensure the MCP client supports stdio transport 4. Check the console output for error messages

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