Skip to main content
Glama

Related Servers

Alternatives to mermaid-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      D
      maintenance
      Enables AI assistants to generate and render Mermaid diagrams (flowcharts, sequence diagrams, etc.) as PNG/SVG images with local file saving and HTTP access URLs. Supports batch processing and intelligent caching for efficient diagram creation.
      1
      6 npm
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Generates diagrams, charts, HTML pages, and slide decks from text DSLs, enabling AI agents to embed visual assets into Markdown.
      8
      30 npm
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with tools to generate, validate, and inspect diagrams from natural-language prompts, using the Kroki rendering engine to produce SVG files.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables automatic generation of UML class diagrams and entity-relationship diagrams from natural language descriptions or structured JSON data. It integrates with MCP agents to create visual representations of code structures and system designs without manual Mermaid coding.
      9 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to list, read, create, update, and delete Mermaid diagrams and collections via the Mermaid REST API over stdio or stateless Streamable HTTP.
      5 npm
      1
      MIT

    TDQS

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: from_ir converts IR to Mermaid source, render produces images from source or IR, and list_ir_targets provides metadata about supported IR targets. There is no functional overlap that would cause an agent to misselect.

    Naming Consistency4/5

    Tool names are all lowercase with underscores and generally readable. However, from_ir does not follow the verb-first pattern of render and list_ir_targets, creating a minor stylistic deviation that reduces full consistency.

    Tool Count5/5

    At three tools, the server is tightly scoped to its stated IR-to-Mermaid rendering workflow. Each tool earns its place with a distinct responsibility, and the count is well within the typical 3-15 range.

    Completeness4/5

    The set covers the full pipeline: IR to source, source/IR to rendered image, and metadata lookup for IR targets. A slight gap is the absence of a source-to-IR conversion, but that is not implied by the server's purpose and can be worked around.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues