Biomedical Data
Biomedical data: compounds, drug info, and molecular targets
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~370Token(工具定義)
~812 B典型回應大小
極小的注意力影響(128k 上下文的 0.29%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"bio": {
"url": "https://bio.memoryapi.org/mcp"
}
}
}遠端端點
https://bio.memoryapi.org/mcpstreamable-http它能做什麼
工具清單
工具(3)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_compound_data(name, cid)
Get drug/compound data from PubChem (NIH). Returns CID, IUPAC name, molecular formula, molecular weight, canonical SMILES, InChI, description, and synonyms.
輸入結構描述
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Drug or compound name (e.g. aspirin, caffeine, ibuprofen)",
"default": "aspirin"
},
"cid": {
"type": "string",
"description": "PubChem CID number (alternative to name)"
}
}
}🟢get_drug_info(name, type)
Get drug label, safety info, adverse events, or recall data from OpenFDA. Returns brand names, generic name, indications, warnings, dosage, interactions.
輸入結構描述
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Drug name (e.g. metformin, aspirin, lisinopril)",
"default": "metformin"
},
"type": {
"type": "string",
"description": "label (default), adverse_events, or recalls",
"default": "label"
}
}
}🟢get_drug_targets(name, type, chembl_id)
Get drug target and bioactivity data from ChEMBL (EMBL-EBI). Returns ChEMBL ID, max clinical phase, molecule type, molecular properties, and indication class.
輸入結構描述
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Drug or compound name (e.g. ibuprofen, atorvastatin)",
"default": "ibuprofen"
},
"type": {
"type": "string",
"description": "molecule (default) or activity",
"default": "molecule"
},
"chembl_id": {
"type": "string",
"description": "ChEMBL ID for activity lookup (e.g. CHEMBL521)"
}
}
}建議的提示詞
retrieve_data
Get details about [item] from Biomedical Data
預期的工具:
get_compound_datafetch_info
Fetch [information type] using Biomedical Data
預期的工具:
get_compound_data社群
證據
近期觀測
已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具