AI Diagram Maker MCP Server
Server Details
MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.
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- Status
- Unhealthy
- Uptime
- 0.0% over 83 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 5 tools
Each tool has a clearly distinct input source: ASCII art, images, JSON, Mermaid code, and natural language text. The descriptions explicitly differentiate when to use each tool based on the input format, with no overlap in purpose. An agent can easily select the correct tool based on the user's input type.
All tool names follow a consistent verb_noun pattern with 'generate_diagram_from_' as a prefix, followed by the specific input type (e.g., 'ascii', 'image', 'json'). This predictable naming convention makes it easy to understand the tool's function and maintain uniformity across the set.
With 5 tools, this server is well-scoped for its purpose of generating diagrams from various input formats. Each tool covers a distinct and common use case in diagram creation, ensuring the set is comprehensive without being overwhelming. The count aligns with typical MCP server ranges and avoids redundancy.
The tool surface covers all major input formats for diagram generation: ASCII art, images, JSON, Mermaid code, and natural language text. This provides complete coverage for converting diverse sources into diagrams, with no obvious gaps. Agents can handle any diagram request based on the available input type.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
5 tool updates
- First observed
generate_diagram_from_ascii - First observed
generate_diagram_from_image - First observed
generate_diagram_from_json - First observed
generate_diagram_from_mermaid - First observed
generate_diagram_from_text
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