Markmap MCP Server
マークマップ MCP サーバー
Markmap MCP Serverは、オープンソースプロジェクトmarkmapをベースに構築されたモデルコンテキストプロトコル(MCP)に基づいており、Markdownテキストをワンクリックでインタラクティブなマインドマップに変換できます。生成されたマインドマップは豊富なインタラクティブ操作をサポートし、様々な画像形式でエクスポートできます。
特徴
🌠 Markdownからマインドマップへ:Markdownテキストをインタラクティブなマインドマップに変換します
🖼️マルチフォーマットエクスポート:PNG、JPG、SVG画像としてのエクスポートをサポート
🔄インタラクティブ操作:ズーム、ノードの展開/折りたたみ、その他のインタラクティブ機能のサポート
📋 Markdownコピー: 元のMarkdownコンテンツをワンクリックでコピー
🌐自動ブラウザプレビュー:生成されたマインドマップをブラウザで自動的に開くオプション
Related MCP server: MindManager MCP Server
前提条件
Node.js ランタイム環境
インストール
Smithery経由でインストール
Smithery経由で Claude Desktop 用の Markmap MCP Server を自動的にインストールするには:
npx -y @smithery/cli install @jinzcdev/markmap-mcp-server --client claude手動インストール
# Install from npm
npm install @jinzcdev/markmap-mcp-server -g
# Basic run
npx -y @jinzcdev/markmap-mcp-server
# Specify output directory
npx -y @jinzcdev/markmap-mcp-server --output /path/to/output/directoryあるいは、リポジトリのクローンを作成してローカルで実行することもできます。
# Clone the repository
git clone https://github.com/jinzcdev/markmap-mcp-server.git
# Navigate to the project directory
cd markmap-mcp-server
# Build project
npm install && npm run build
# Run the server
node build/index.js使用法
MCP クライアント構成ファイルに次の構成を追加します。
{
"mcpServers": {
"markmap": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@jinzcdev/markmap-mcp-server",
"--output",
"/path/to/output/directory"
]
}
}
}[!ヒント]
このサービスは次の環境変数をサポートしています。
MARKMAP_DIR: マインドマップの出力ディレクトリを指定します(オプション、デフォルトはシステムの一時ディレクトリ)優先注意:
--outputコマンドライン引数とMARKMAP_DIR環境変数の両方が指定されている場合は、コマンドライン引数が優先されます。
利用可能なツール
マークダウンからマインドマップへ
Markdown テキストをインタラクティブなマインドマップに変換します。
パラメータ:
markdown: 変換するMarkdownコンテンツ(必須文字列)open: 生成されたマインドマップをブラウザで自動的に開くかどうか(オプションのブール値、デフォルトは false)
戻り値:
{
"content": [
{
"type": "text",
"text": "JSON_DATA_OF_MINDMAP_FILEPATH"
}
]
}ライセンス
このプロジェクトは MIT ライセンスに基づいてライセンスされています。
Available Tools
1 toolmarkdown_to_mindmapB
Convert a Markdown document into an interactive mind map
| Name | Required | Description | Default |
|---|---|---|---|
| markdown | Yes | Markdown content to convert into a mind map | |
| open | No | Whether to open the generated mind map in a browser (default: false) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the conversion action but fails to describe key behavioral traits such as what format the mind map output takes (e.g., file, URL, visual representation), whether the conversion is reversible, any rate limits, or error handling. This leaves significant gaps for an agent to understand how to interact with the tool effectively.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any unnecessary words. It is front-loaded with the core action, making it easy to parse and understand quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a conversion tool with no annotations and no output schema, the description is incomplete. It lacks details on the output format (e.g., how the mind map is returned or accessed), potential side effects, or any prerequisites for successful conversion. This leaves the agent with insufficient context to use the tool reliably.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema already documents both parameters ('markdown' and 'open') thoroughly. The description adds no additional meaning beyond what the schema provides, such as examples of Markdown content or implications of the 'open' parameter. Baseline 3 is appropriate as the schema handles the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Convert') and the resources involved ('Markdown document' into 'interactive mind map'), leaving no ambiguity about what the tool does. It distinguishes the transformation process explicitly, which is sufficient even without sibling tools for comparison.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when converting Markdown to a mind map, but provides no explicit guidance on when to use this tool versus alternatives (e.g., other conversion tools or manual methods). Since there are no sibling tools listed, this omission is less critical, but it still lacks proactive usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
markdown_to_mindmap
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly distinct and singular.
The single tool name follows a clear verb_noun pattern (markdown_to_mindmap), establishing a consistent naming convention for the server.
One tool is too few for a server's typical scope, as it limits functionality and may indicate an incomplete or overly narrow implementation. However, it is not as extreme as a trivial single tool, so it avoids the lowest score.
The tool provides a core conversion function, but there are notable gaps such as missing operations for editing, saving, or loading mind maps, which could hinder agent workflows. The surface is functional but not fully comprehensive.
Maintenance
Related MCP Connectors
Turn outlines and hierarchical notes into interactive mind maps through a hosted remote MCP server.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Markdown-based note-taking with a hosted MCP server. Your notes serve you and your AI.
A Model Context Protocol server for Wix AI tools
Related MCP Servers
- AlicenseBqualityDmaintenanceA Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.1696 PyPI240MIT
- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables LLMs to interact with MindManager mind maps, allowing retrieval of mind map structures and export to formats like Mermaid, Markdown, and JSON.1111MIT
- AlicenseDqualityCmaintenanceAn MCP server that allows LLMs to create structured Xmind mind maps with hierarchical topic structures, supporting features like notes, labels, and markers.174 npm45MIT
- FlicenseNot gradedqualityDmaintenanceA powerful Model Context Protocol server that automatically generates Mermaid diagrams from code and provides SVG beautification features.1-