getting_started — Canvas Medical MCP by usefulapi MCP Prompt
getting_started
is one of 1 prompt on the
Canvas Medical MCP by usefulapi
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke getting_started from your client
- Claude Code Canvas Medical MCP by usefulapi Prompt/getting_started run in your project directory
- Claude Desktop Canvas Medical MCP by usefulapi Prompt/getting_started ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Canvas Medical MCP by usefulapi Prompt/getting_started ~/.cursor/mcp.json
- VS Code Canvas Medical MCP by usefulapi Prompt/getting_started .vscode/mcp.json
- Zed Canvas Medical MCP by usefulapi Prompt/getting_started ~/.config/zed/settings.json
- Windsurf Canvas Medical MCP by usefulapi Prompt/getting_started ~/.codeium/windsurf/mcp_config.json
- Cline Canvas Medical MCP by usefulapi Prompt/getting_started ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Canvas Medical MCP by usefulapi Prompt/getting_started ~/.gemini/settings.json
- Grok Canvas Medical MCP by usefulapi Prompt/getting_started .mcp.json (in your project root)
- ChatGPT Canvas Medical MCP by usefulapi Prompt/getting_started Settings → Connectors → Advanced → Developer mode
- Claude.ai Canvas Medical MCP by usefulapi Prompt/getting_started Settings → Connectors → Add custom connector
- LangChain Canvas Medical MCP by usefulapi Prompt/getting_started pip install langchain-mcp-adapters
Read from the server itself, by connecting to it and calling prompts/list on 14 November 2026.
A listing does not declare its prompts, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each prompt's arguments.