@PadsterH2012
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No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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mcp-server-diagramai is an MCP server for DiagramAI integration that lets AI agents create, read, edit, and delete diagrams in real-time. It is designed for developers building AI‑powered diagramming workflows.
Install globally via npm (npm install -g mcp-server-diagramai) or build from source. Configure the server with environment variables for DiagramAI API URL and API key, then add it to the Claude Desktop configuration. Use the exposed tools (e.g., create_diagram, update_diagram) to manage diagrams through your AI agent.
`DIAGRAMAI_API_URL` (the URL of your DiagramAI instance) and `DIAGRAMAI_API_KEY` (with permissions like `diagrams:create`, `diagrams:read`, `diagrams:update`, `diagrams:delete`, and `projects:read`). Optionally set `REQUEST_TIMEOUT`, `DIAGRAMAI_WS_URL`, and `DEBUG`.
Install via npm: `npm install -g mcp-server-diagramai`. Alternatively, clone the repository, run `npm install && npm run build`, then point to the built `dist/index.js`.
Add a `diagramai` entry to your Claude Desktop config (`mcpServers`). For the published package, use `command: "npx"` with args `["mcp-server-diagramai", "--api-url", "${DIAGRAMAI_API_URL}", "--api-key", "${DIAGRAMAI_API_KEY}"]`. For development, provide the full path to Node and the built script plus `env` variables.
The server provides `create_diagram`, `get_diagram`, `update_diagram`, `delete_diagram`, `add_node`, `add_edge`, `list_diagrams`, and `get_diagram_status`. Each accepts parameters documented in the README.
Verify that the API key starts with `da_`, has the required permissions in DiagramAI settings, and has not expired. Also confirm the API URL and port are correct and the DiagramAI instance is running.
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