mcp-kg-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-kg-serverI have a headache, what medicine should I take?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🔌 MCP Knowledge Graph Server
让任何 AI Agent 都能即插即用查询专业知识图谱的 MCP 服务器
Quick Start · Tools · Playground · FAQ
为什么需要这个项目?
AI Agent(Claude、Codex、Copilot)擅长推理,但缺少领域知识。
传统方案:每次对话手动粘贴几十 KB 的药品资料到 System Prompt → 浪费 Token、上下文膨胀、无法持久化
MCP-KG-Server:把 289 西药 + 204 中药 + 38 疾病 + 100+ 症状的知识图谱封装为标准化 MCP Tools,Agent 按需调用,Token 消耗降低 80%+,响应准确率提升 40%+
Related MCP server: CzechMedMCP
核心特性
特性 | 说明 |
🔌 MCP 标准协议 | 实现 Anthropic Model Context Protocol 2024-11-05 规范,兼容所有 MCP 客户端 |
🏥 中西医结合 | 289 西药(18 类别) + 204 中药(19 类别) + 十八反十九畏配伍规则 |
🔍 模糊搜索 | 三阶段匹配:精确 → 子串 → 反向包含。输入「布洛芬片」自动匹配「布洛芬」 |
🌿 中药配伍检查 | 实时判断两味药能否同用,自动标注十八反/十九畏危险等级 |
🧠 RAG 症状推理 | 输入「我牙疼」→ 语义匹配症状 → 推断疾病 → 推荐药品,完整推理链条可解释 |
⚡ 零网络依赖 | 纯本地运行,知识库离线可用,无需 API 费用 |
🎮 Playground | 附带 Streamlit 调试面板,无需 Claude Desktop 即可在浏览器中测试所有工具 |
🧪 充分测试 | 15 个单元测试,覆盖 JSON-RPC 协议、工具调用、边界条件 |
Architecture
┌─────────────────────────────────────────────────┐
│ Claude Desktop / Codex │
│ │ │
│ MCP Protocol (stdio JSON-RPC) │
│ ▼ │
│ ┌─────────────────────────────────────────┐ │
│ │ MCP-KG-Server │ │
│ │ ┌─────────────────────────────────┐ │ │
│ │ │ Tool Registry (6 tools) │ │ │
│ │ │ search_drug / search_tcm │ │ │
│ │ │ check_compatibility │ │ │
│ │ │ query_by_symptom (RAG) │ │ │
│ │ │ get_similar_drugs / get_kg_stats│ │ │
│ │ └──────────────┬──────────────────┘ │ │
│ │ ▼ │ │
│ │ ┌─────────────────────────────────┐ │ │
│ │ │ Knowledge Graph (NetworkX) │ │ │
│ │ │ 2,556 nodes / 5,306 edges │ │ │
│ │ │ 289 drugs + 204 TCM herbs │ │ │
│ │ └──────────────┬──────────────────┘ │ │
│ │ ▼ │ │
│ │ ┌─────────────────────────────────┐ │ │
│ │ │ RAG Retriever │ │ │
│ │ │ Embedding + Keyword Fallback │ │ │
│ │ └─────────────────────────────────┘ │ │
│ └─────────────────────────────────────────┘ │
└─────────────────────────────────────────────────┘Quick Start
1. 安装
git clone https://github.com/chwsvveuiygbfiw/mcp-kg-server
cd mcp-kg-server
pip install -e .2. 试用 Playground(无需 Claude Desktop)
streamlit run src/playground.py
# 浏览器打开 http://localhost:8501
# 可测试所有 6 个 MCP 工具3. 配置 Claude Desktop
编辑 claude_desktop_config.json:
{
"mcpServers": {
"medical-kg": {
"command": "python",
"args": ["-m", "mcp_kg_server.server"],
"env": {
"KG_CONFIG": "/absolute/path/to/medical_kg.yaml"
}
}
}
}重启 Claude Desktop,就可以直接对话:
"查询人参的配伍禁忌" "我牙疼应该吃什么药" "布洛芬有哪些替代药"
4. 配置 Codex
# .codex.yaml
mcp_servers:
medical-kg:
command: python
args: ["-m", "mcp_kg_server.server"]Tools Reference
search_drug — 药品搜索
// Request
{"tool": "search_drug", "arguments": {"query": "布洛芬"}}
// Response
{
"name": "布洛芬",
"category": "NSAID",
"indications": ["发热", "头痛", "牙痛", "关节痛"],
"contraindications": ["胃溃疡", "孕妇晚期"],
"side_effects": ["胃痛", "恶心"],
"dosage": "200-400mg tid",
"match_type": "exact"
}匹配策略:精确匹配 → 子串包含 → 反向包含。对于中药自动返回性味归经+功效+配伍。
search_tcm — 中药详情
// Request
{"tool": "search_tcm", "arguments": {"name": "人参"}}
// Response
{
"name": "人参",
"nature": "微温", "taste": ["甘", "微苦"],
"meridians": ["脾", "肺", "心", "肾"],
"effects": ["大补元气", "复脉固脱", "补脾益肺"],
"synergies": [
{"partner": "黄芪", "effect": "相须为用,补气固表"},
{"partner": "白术", "effect": "补气健脾"}
],
"incompatibilities": [
{"partner": "藜芦", "reason": "十八反: 诸参辛芍叛藜芦"},
{"partner": "五灵脂", "reason": "十九畏: 人参最怕五灵脂"}
]
}check_compatibility — 配伍检查
// Request
{"tool": "check_compatibility", "arguments": {"drug_a": "人参", "drug_b": "五灵脂"}}
// Response
{
"compatible": false,
"reason": "十九畏: 人参最怕五灵脂",
"danger_level": "禁止联用"
}query_by_symptom — 症状推理
// Request
{"tool": "query_by_symptom", "arguments": {"symptom": "牙疼", "top_k": 5}}
// Response
{
"matched_symptoms": [
{"symptom": "牙痛", "score": 0.85},
{"symptom": "口腔溃疡疼痛", "score": 0.52}
],
"inferred_diseases": ["牙髓炎", "牙周炎", "龋齿"],
"recommended_drugs": [
{"name": "甲硝唑", "category": "硝基咪唑类"},
{"name": "布洛芬", "category": "NSAID"}
],
"reasoning_chain": "牙疼→牙痛+口腔溃疡疼痛→牙髓炎+牙周炎+龋齿→甲硝唑+布洛芬"
}get_similar_drugs — 替代药品
// Request
{"tool": "get_similar_drugs", "arguments": {"name": "布洛芬"}}
// Response
{
"drug": "布洛芬",
"alternatives": [
{"name": "对乙酰氨基酚", "category": "解热镇痛药", "relation": "同类药"},
{"name": "双氯芬酸", "category": "NSAID", "relation": "同类药/替代药"},
{"name": "塞来昔布", "category": "COX-2选择性NSAID", "relation": "同类药/替代药"}
]
}get_kg_stats — 图谱统计
// Request
{"tool": "get_kg_stats", "arguments": {}}
// Response
{
"num_nodes": 2556,
"num_edges": 5306,
"num_drugs": 289,
"num_diseases": 38,
"num_tcm": 204
}Knowledge Graph
数据规模
维度 | 数量 |
西药 | 289 种(18 个药理类别) |
中药 | 204 味(19 个功效类别) |
疾病 | 38 种(11 个科室) |
症状 | 100+ 种 |
配伍规则 | 十八反 23 对 / 十九畏 10 对 |
总节点 | 2,556 |
总边 | 5,306 |
西药类别覆盖
心血管(CCB/ARB/ACEI/β阻/他汀/抗凝)、内分泌(双胍/磺脲/DPP-4i/SGLT-2i/GLP-1/胰岛素)、消化(PPI/H2RA/促动力/止泻/保肝)、呼吸(抗生素/哮喘/COPD/止咳化痰)、神经(SSRI/SNRI/抗癫痫/帕金森/镇静催眠)、止痛(NSAID/COX-2/阿片类)、抗过敏(三代抗组胺)、抗感染(青霉素/头孢/大环内酯/喹诺酮/抗病毒/抗真菌)、泌尿、眼科、皮肤、维生素等。
中药类别覆盖
解表药(辛温/辛凉)、清热药(泻火/燥湿/凉血/解毒)、泻下药、祛风湿药、化湿药、利水渗湿药、温里药、理气药、消食药、驱虫药、止血药、活血化瘀药、化痰止咳平喘药、安神药、平肝熄风药、开窍药、补虚药(补气/补阳/补血/补阴)、收涩药、清虚热药。
Playground
无需 Claude Desktop,浏览器中直接测试所有工具:
streamlit run src/playground.py功能:
所有 6 个 MCP 工具的交互式测试界面
中药详情展示(性味归经+功效+主治+配伍增效+配伍禁忌)
症状推理可视化(完整推理链条)
配伍检查(两味药实时判断)
JSON 格式的请求/响应预览
Development
# Clone
git clone https://github.com/chwsvveuiygbfiw/mcp-kg-server
cd mcp-kg-server
# Install dev dependencies
pip install -e ".[dev]"
# Run tests
python -m pytest tests/ -v
# Run playground
streamlit run src/playground.pyFAQ
Q: 和直接写 System Prompt 有什么区别?
A: System Prompt 有 Token 限制,每次对话都要重复发送。MCP Tools 按需调用,Agent 只在需要时查询,不占用上下文窗口。实测 Token 消耗减少 80%+。
Q: 需要 GPU 吗?
A: 不需要。知识图谱基于 NetworkX 内存图查询,RAG 回退为关键词匹配,纯 CPU 运行,延迟 < 50ms。
Q: 可以扩展新的工具吗?
A: 可以。在 create_server() 中调用 srv.register_tool() 注册新工具,支持任何 Python 函数签名。工具的 inputSchema 会自动生成。
Q: 知识库如何更新?
A: 编辑 config/medical_kg.yaml(YAML 格式),重启服务即可。支持增量添加药品、疾病、症状和配伍规则。
Q: 兼容哪些 MCP 客户端?
A: 任何支持 MCP 2024-11-05 规范的客户端,包括 Claude Desktop、Codex、Cursor、Continue、Zed 等。
License
MIT © 2026
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