Skip to main content
Glama
Augmented-Nature

Unofficial PubChem MCP Server

assess_drug_likeness

Evaluate drug-likeness of chemical compounds using Lipinski's Rule of Five, Veber rules, and PAINS filters. Input PubChem CID or SMILES string to assess molecular properties for drug development.

Instructions

Assess drug-likeness using Lipinski Rule of Five, Veber rules, and PAINS filters

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cidNoPubChem Compound ID (CID)
smilesNoSMILES string (alternative to CID)

Implementation Reference

  • The main handler function that executes the assess_drug_likeness tool logic. Currently implemented as a placeholder returning a 'not yet implemented' message.
    private async handleAssessDrugLikeness(args: any) { return { content: [{ type: 'text', text: JSON.stringify({ message: 'Drug-likeness assessment not yet implemented', args }, null, 2) }] }; }
  • Input schema definition for the assess_drug_likeness tool, defining optional cid or smiles parameters.
    inputSchema: { type: 'object', properties: { cid: { type: ['number', 'string'], description: 'PubChem Compound ID (CID)' }, smiles: { type: 'string', description: 'SMILES string (alternative to CID)' }, }, required: [], },
  • src/index.ts:539-550 (registration)
    Tool registration entry in the listTools response, providing name, description, and input schema.
    { name: 'assess_drug_likeness', description: 'Assess drug-likeness using Lipinski Rule of Five, Veber rules, and PAINS filters', inputSchema: { type: 'object', properties: { cid: { type: ['number', 'string'], description: 'PubChem Compound ID (CID)' }, smiles: { type: 'string', description: 'SMILES string (alternative to CID)' }, }, required: [], }, },
  • src/index.ts:772-773 (registration)
    Dispatcher case in the CallToolRequestSchema handler that routes calls to the assess_drug_likeness tool to its handler function.
    case 'assess_drug_likeness': return await this.handleAssessDrugLikeness(args);

Latest Blog Posts

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/Augmented-Nature-PubChem-MCP-Server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server