MCP-based Knowledge Graph Construction System
by turambar928
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MAX_ENTITIES | No | Maximum entities per graph. | 50 |
| OPENAI_MODEL | Yes | The name of the LLM model to use (e.g., Qwen/QwQ-32B). | Qwen/QwQ-32B |
| OPENAI_API_KEY | Yes | Your API key for the LLM provider (e.g., OpenAI, DeepSeek, SiliconFlow). | |
| OPENAI_BASE_URL | Yes | The API endpoint URL (e.g., https://api.openai.com/v1, https://api.deepseek.com, https://api.siliconflow.cn/v1). | https://api.siliconflow.cn/v1 |
| QUALITY_THRESHOLD | No | Quality threshold for enhancement. Automatically determines if data needs enhancement. | 0.5 |
| VISUALIZATION_WIDTH | No | Width of the generated HTML visualization. | 1200 |
| VISUALIZATION_HEIGHT | No | Height of the generated HTML visualization. | 800 |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| build_knowledge_graph | 全自动构建知识图谱：自动评估数据质量、补全知识、构建图谱并生成可视化 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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