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shanchuangkj.com

Provides tools to search and retrieve pharmaceutical drug records by name, target, indication, and detailed drug information.

1 endpoint22 known toolsFirst detected October 22, 2026Last detected October 22, 2026

ENDPOINT 1

https://medicine.shanchuangkj.com/mcp

No auth detected

MCP server metadata

Name
medical-mcp
Version
1.0.0
Capabilities
tools
Server instructions

医药数据社 MCP:9 大能力域、21 个查询工具。接入后先调 list_capabilities(不计费)拿全量目录。列表工具 limit 默认 20、硬上限 20,单次响应 ≤32KB;单次检索最多翻到 1000 行(offset+limit);每个账号每天最多返回 5000 行(赠送额度共 2000 行);查不到返回 count:0。每次成功调用按实际返回行数计费,返回 0 行不扣费。

Known tools 22

list_capabilities

列出本 MCP 的全部工具、能力域、限额与套餐。不计费,接入后第一件事就是调它。

Inferred read-only
search_drugs

按药名/英文名/别名、药物类型、全球或国内研发阶段、企业检索药品(rs_medical,7.

Inferred read-only
get_drug_detail

按 drug_id 取单条药品完整记录(适应症编码串、靶点、批准日期、研发企业、链接等)。

Inferred read-only
search_drugs_by_target

按靶点找在研/上市药品(命中 rs_medical.

Inferred read-only
search_drugs_by_indication

按适应症找药品(命中 rs_medical.

Inferred read-only
search_targets

检索靶点树(rs_target,9.

Inferred read-only
get_target_detail

按 target_id 取靶点:上级链 ancestors + 子靶点 children + 关联药品数 drug_count。

Inferred read-only
search_indications

检索适应症树(rs_indication,8.

Inferred read-only
get_indication_detail

按 indication_id 取适应症:上级链 + 子节点 + 药品数 + 试验数。

Inferred read-only
search_clinical_trials

检索临床试验。source=cn 中文库(2.

Inferred read-only
get_clinical_trial_detail

按 trial_id + source 取试验详情。中文库给入组人数/评价指标/AI 摘要;全球库给入排标准与结局指标(长文按 4000 字截断)。

Inferred read-only
search_companies

检索公司与机构(rs_company,5.

Inferred read-only
get_company_detail

按 company_id 取公司详情 + 关联计数:管线药品数、BD 交易数、投融资事件数。某个计数超时会在 count_errors 里点名,不会静默当 0。

Inferred read-only
search_deals

检索 BD 交易(fa_drug_trade,4k 条):license-in/out、首付款、总金额、里程碑、双方企业。trade_type 是分号组合串(授权/许可、投资;期权;合作、并购)。

Inferred read-only
get_deal_detail

按 deal_id 取交易完整记录(金额结构、许可类型、双方企业 id)。

Inferred read-only
search_investments

检索投融资事件(fa_investment,1.

Inferred read-only
search_investors

检索投资机构(fa_investor,2.

Inferred read-only
search_patents

检索药品专利(rs_drug_patents,2.

Inferred read-only
get_patent_detail

按 patent_id 取专利详情 + 关联药品/成分(linked_drugs,最多 20 条)。

Inferred read-only
search_meeting_reports

检索医学会议摘要(rs_meeting_report,45 万条,ASCO / ESMO / SABCS 等)。⚠️ 本域只有会议摘要,没有 PubMed 题录(库里 rs_pubmed 实测 0 行);created_year 是入库年份,不是发表年份。

Inferred read-only
get_meeting_report_detail

按 report_id 取会议摘要详情(meta 含作者与正文摘要,长文按 4000 字截断)+ 原文链接。

Inferred read-only
search_market_sales

检索药品销量(2016–2024)。channel:drug=药品汇总(46 万行)、hospital=医院端(133 万行)、network=线上电商(京东/天猫/抖音,36 万行)、all=三张表合并。⚠️ 必须带 drug 或 company;库内没有线下连锁药店动销。

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.medical-mcp]
url = "https://medicine.shanchuangkj.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "medical-mcp": {
      "type": "http",
      "url": "https://medicine.shanchuangkj.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: medical-mcp
Remote MCP URL: https://medicine.shanchuangkj.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "medical-mcp": {
      "url": "https://medicine.shanchuangkj.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "medical-mcp": {
      "type": "http",
      "url": "https://medicine.shanchuangkj.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "medical-mcp",
  "transport": "streamable-http",
  "url": "https://medicine.shanchuangkj.com/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.