PubChem MCP Server

MIT License

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predict_admet_properties

Predict ADMET properties (Absorption, Distribution, Metabolism, Excretion, Toxicity) for chemical compounds using PubChem CID or SMILES string to evaluate drug-likeness and safety.

Instructions

Predict ADMET properties (Absorption, Distribution, Metabolism, Excretion, Toxicity)

Input Schema

Name	Required	Description	Default
`cid`	No	PubChem Compound ID (CID)
`smiles`	No	SMILES string (alternative to CID)

Input Schema (JSON Schema)

{
  "properties": {
    "cid": {
      "description": "PubChem Compound ID (CID)",
      "type": [
        "number",
        "string"
      ]
    },
    "smiles": {
      "description": "SMILES string (alternative to CID)",
      "type": "string"
    }
  },
  "required": [],
  "type": "object"
}

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Augmented-Nature/PubChem-MCP-Server'

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