Pubchem MCP Server
P

Pubchem MCP Server

A Python-based MCP server for querying chemical compound data from the PubChem database, providing information retrieval functions for compound properties, 2D/3D structures, etc.
2.5 points
5.0K

What is the PubChem MCP Server?

This is a bridge service that connects AI models with the PubChem chemical database. Through the standardized Model Context Protocol (MCP), you can easily query detailed information of over 100 million chemical substances, including molecular structures, chemical properties, and 3D coordinate data.

How to use the PubChem MCP Server?

Simply send a standardized query request through an AI model, and the server will automatically retrieve data from PubChem and return formatted results. It supports queries by compound name or unique identifier (CID) without direct database operations.

Use Cases

It is particularly suitable for AI application scenarios that require the integration of chemical data, such as drug discovery research, chemical education assistants, and intelligent systems for molecular property analysis that need real-time chemical information.

Main Features

Compound Data Query
Supports querying complete compound information by name or CID, including core attributes such as IUPAC name, molecular formula, and molecular weight
Molecular Structure Download
Provides the download of molecular structure files in multiple formats (SDF/MOL/SMI) to meet different analysis needs
3D Structure Support
Automatically obtains or generates 3D molecular coordinate data (XYZ format) to support molecular visualization applications
Intelligent Cache System
Automatically caches commonly used compound data, significantly improving the response speed of repeated queries
Advantages
Standardized interface: Provides a unified access method through the MCP protocol
Rich data: Directly connects to the world's largest chemical database, PubChem
Flexible format: Supports multiple output formats such as JSON/CSV/XYZ
Fault-tolerant mechanism: Automatic retry and backup 3D structure generation ensure service reliability
Limitations
Network-dependent: Requires a stable Internet connection to access PubChem
Complex queries: Does not currently support advanced filtering conditions
3D structures: Some compounds may lack official 3D data

How to Use

Install the Service
Install the server components through the Python package manager pip
Configure MCP
Add server information to the MCP configuration file of the AI model
Send a Query
Send a compound query request through the standard MCP protocol

Usage Examples

Drug Component Analysis
Query the chemical components and structural information of common drugs
Molecular Visualization
Obtain 3D molecular structures for scientific visualization

Frequently Asked Questions

What is the query response speed?
Which chemical identifiers are supported?
Is RDKit required?

Related Resources

PubChem Official Website
Learn about the data source and the complete compound library
GitHub Repository
Obtain the source code and the latest version
MCP Protocol Description
Learn about the Model Context Protocol standard

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "pubchem": {
      "command": "python3",
      "args": ["/path/to/pubchem-mcp-server/python_version/mcp_server.py"],
      "env": {
        "PYTHONUNBUFFERED": "1"
      },
      "disabled": false,
      "autoApprove": [
        "get_pubchem_data",
        "download_structure"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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