MCP-Diagram Server

Overview of MCP‑Diagram

MCP‑Diagram is a Model‑Client‑Protocol server designed to bridge the gap between natural language conversations with AI assistants such as Claude and the rapid creation of visual representations. By exposing a suite of diagram‑generation tools, it lets developers and architects transform textual descriptions into polished graphics—without leaving the chat interface. This eliminates the need for manual diagramming in external tools, speeding up design reviews, documentation, and knowledge sharing.

The server supports a wide range of diagram types, all generated from plain‑English prompts. It can produce D2Lang architecture diagrams and numerous Mermaid visualizations—including class UML, entity‑relationship, sequence, Gantt, mind maps, and timelines. Each diagram type is exposed through a dedicated MCP function (, , etc.), allowing the AI to select the appropriate format based on context. The generated output is typically a URL that hosts the rendered diagram, which can be opened directly in a browser or embedded into other documents.

For developers using AI assistants, MCP‑Diagram offers several compelling advantages. First, it automates a traditionally manual step: turning ideas into visual diagrams, which is especially valuable during brainstorming or architecture walkthroughs. Second, the server’s tight integration with Claude Desktop means that the assistant can invoke diagram creation on demand, returning a ready‑to‑view link in real time. Third, because the server is built on Java and uses standard diagramming languages, it can be deployed in any environment that supports JRE 17+, ensuring compatibility across platforms.

Typical use cases include:

• Software architecture design: Quickly sketching microservice layouts or cloud infrastructure (e.g., AWS, Azure) from textual specifications.
• Database modeling: Generating ER diagrams or class hierarchies to validate schema designs during development.
• Project planning: Creating Gantt charts or timelines directly from sprint descriptions to keep stakeholders aligned.
• Knowledge sharing: Producing mind maps or sequence diagrams for onboarding new team members or documenting workflows.

Integrating MCP‑Diagram into an AI workflow is straightforward: the assistant parses the user’s request, selects the relevant diagram function, sends a structured query to the MCP server, and then presents the resulting URL. Because all communication follows the Model‑Client‑Protocol, developers can extend or replace the server with minimal effort, enabling custom diagramming engines or additional formats as needed.

In summary, MCP‑Diagram transforms textual conversation into actionable visual artifacts, streamlining design processes and enhancing collaboration. Its broad diagram support, seamless AI integration, and platform‑agnostic deployment make it a valuable tool for any team that relies on clear, accurate visual documentation.