yenchieh/diagramzu-mcp
by Various
MCP server for diagramzu.ai — read/write Mermaid diagrams in your Space from Claude, Cursor, ChatGPT, or any MCP client.
MCP
yenchieh/diagramzu-mcp
Added 18 June 2026
Overview
This MCP server connects AI clients like Claude, Cursor, and ChatGPT to diagramzu.ai, enabling read and write operations for Mermaid diagrams in your Space. It uses the Model Context Protocol to translate requests into diagram actions, allowing AI assistants to create or modify diagrams programmatically. Built in TypeScript, it is a lightweight integration tool for diagram workflows.
Best for
Best for
Developers and teams using AI assistants to manage Mermaid diagrams within diagramzu.ai Spaces
Use cases
- Generate Mermaid diagrams from natural language prompts via Claude or ChatGPT
- Update existing diagrams in diagramzu.ai Spaces automatically with AI edits
- Sync diagram changes between AI assistants and diagramzu.ai without manual copy-paste
Notes
This MCP server connects AI clients like Claude, Cursor, and ChatGPT to diagramzu.ai, enabling read and write operations for Mermaid diagrams in your Space. It uses the Model Context Protocol to translate requests into diagram actions, allowing AI assistants to create or modify diagrams programmatically. Built in TypeScript, it is a lightweight integration tool for diagram workflows.
0 stars on GitHub. Last updated 2026-06-18. Licensed MIT.
Use cases
- Generate Mermaid diagrams from natural language prompts via Claude or ChatGPT
- Update existing diagrams in diagramzu.ai Spaces automatically with AI edits
- Sync diagram changes between AI assistants and diagramzu.ai without manual copy-paste
Pros
- Works with multiple popular MCP-compatible AI clients out of the box
- Uses standard Mermaid syntax for broad tool compatibility
- Lightweight TypeScript project with no heavy dependencies
Cons
- Depends on diagramzu.ai service availability and API stability
- Low adoption (0 stars) may mean limited community support or testing
- Requires MCP client setup and configuration before use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Works with multiple popular MCP-compatible AI clients out of the box
- Uses standard Mermaid syntax for broad tool compatibility
- Lightweight TypeScript project with no heavy dependencies
Cons
- Depends on diagramzu.ai service availability and API stability
- Low adoption (0 stars) may mean limited community support or testing
- Requires MCP client setup and configuration before use
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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