这个服务器需要安装什么外部依赖?
服务器依赖 `markmap-cli` 和 `@mermaid-js/mermaid-cli`。如果使用 npx 启动时这些命令找不到,您可能需要手动全局安装它们:`npm install -g markmap-cli @mermaid-js/mermaid-cli`。
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Basic information
use markmap-cli,mermaid-cli to create cognigraph
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"cognigraph-mcp-server": {
"command": "node",
"args": [
"/path/to/cognigraph-mcp-server/build/index.js"
],
"env": {
"MINDMAP_DEFAULT_SAVE_DIR": "C:\\Users\\YourUser\\Desktop",
"OPENAI_API_KEY": "sk-...",
"OPENAI_BASE_URL": "http://localhost:11434/v1",
"OPENAI_DEFAULT_MODEL": "llama3"
},
"disabled": false,
"alwaysAllow": []
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
CogniGraph MCP 服务器是一个模型上下文协议 (MCP) 服务器,它利用外部命令行工具(markmap-cli 和 @mermaid-js/mermaid-cli)以及兼容 OpenAI 的 API 进行 AI 分析,来生成思维导图、关系图谱和知识图谱。它专为与 Claude Desktop、Cherry Studio、DeepChat、HyperChat 等本地 MCP 客户端配合使用而设计。
通过 MCP 客户端(如 Cherry Studio)的 use_mcp_tool 功能调用服务器暴露的四个工具。安装时,您可以在客户端设置文件(如 mcp_settings.json)中配置环境变量(如 OPENAI_API_KEY、MINDMAP_DEFAULT_SAVE_DIR),并通过 npx cognigraph-mcp-server 或本地构建启动。
服务器依赖 `markmap-cli` 和 `@mermaid-js/mermaid-cli`。如果使用 npx 启动时这些命令找不到,您可能需要手动全局安装它们:`npm install -g markmap-cli @mermaid-js/mermaid-cli`。
您可以通过 MCP 客户端设置中的环境变量 `OPENAI_API_KEY` 配置,或在调用 `generate_knowledge_graph` 工具时通过 `apiKey` 参数临时传入。如果两者都未设置,该工具会失败。
由环境变量 `MINDMAP_DEFAULT_SAVE_DIR` 指定;如果未设置,则默认保存到用户的主目录。只有 `generate_mindmap`(直接返回内容)不受此变量影响。
可以。设置环境变量 `OPENAI_BASE_URL` 为本地端点(如 `http://localhost:11434/v1`),并配合相应的 `OPENAI_DEFAULT_MODEL` 即可使用本地模型(如

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