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xmindltd

Mapify MCP Server

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by xmindltd
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.1

  • Disambiguation5/5

    Only one tool exists, so there is no risk of confusion or overlap. The tool's purpose is clear and unambiguous.

    Naming Consistency5/5

    With a single tool, naming consistency is trivially achieved. The name 'generate_mindmap' follows a clear verb_noun pattern.

    Tool Count2/5

    A single tool is too few for a service claiming to be a mind map server. Even for a minimal generative service, additional operations (e.g., retrieval, editing) are expected, making the surface feel incomplete.

    Completeness2/5

    The server only supports generating mind maps, lacking any tools for listing, viewing, updating, or deleting previously created maps. This is a significant gap for typical user workflows.

  • Average 3.6/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior3/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description carries full burden. It discloses the output (image and editable link) which is helpful, but does not mention behavioral traits such as rate limits, authentication requirements, or potential side effects. The generation nature implies non-destructive behavior, but more detail would improve transparency.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single sentence that is concise and front-loaded with the main action. It avoids unnecessary words but could be restructured to list modes or highlight key output features without becoming overly long.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    The tool is relatively simple with 3 parameters and no output schema. The description mentions the output (image and editable link) which is useful, but does not explain the format of the link or any return values. For a basic generation tool, it is adequate but could be more complete by specifying what 'editable link' means.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, so baseline is 3. The description does not add additional meaning beyond what the schema already provides. The schema itself has clear descriptions for prompt, mode, and language, including instructions for mode-specific prompt usage.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool generates a mind map from various inputs and provides both an image and an editable link. It specifies both the action (generate) and the resource (mind map) along with the output format, making the purpose highly identifiable.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines3/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description does not provide explicit when-to-use or when-not-to-use guidance. However, since there are no sibling tools, the need is reduced. The description implies usage for creating mind maps but lacks context on prerequisites or alternatives.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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  • Evaluate tool definition quality.

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