About PubChem MCP Server
PubChem MCP Server is a Python MCP server for querying compound data and structures from PubChem. It supports property and structure outputs in several formats, with caching and fallback 3D structure generation.
Key features
- 01Query compounds by name or PubChem CID
- 02Retrieve chemical properties and identifiers
- 03Export JSON, CSV, or XYZ data
- 04Download SDF, MOL, or SMILES structures
- 05Cache responses and retry API requests
- 06Generate fallback 3D structures
Use cases
- 01Look up properties for a named compound or CID
- 02Retrieve molecular identifiers for chemical research
- 03Export compound data or 3D coordinates
- 04Download a compound structure file
MCP support
It exposes PubChem compound queries and structure downloads as MCP tools, allowing MCP clients to retrieve chemical properties and structure data.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPubChem MCP Server
A Model Context Protocol (MCP) server for retrieving chemical compound data from PubChem database.
Overview
PubChem MCP Server is a Python implementation of an MCP server that allows AI models to query chemical compound information from the PubChem database. It provides easy access to compound properties, 2D structures, and 3D molecular coordinates through a standard MCP interface.
Features
- Query compounds by name or PubChem CID
- Retrieve comprehensive compound data including:
- IUPAC name
- Molecular formula
- Molecular weight
- SMILES notation
- InChI and InChIKey
- Support for multiple output formats:
- JSON (default)
- CSV
- XYZ (3D structure)
- Built-in caching system to improve performance
- Automatic retry mechanism for API reliability
- Fallback 3D structure generation if PubChem 3D is unavailable
Requirements
- Python 3.8+
- Requests library
- RDKit (optional, for enhanced 3D structure handling)
Installation
From Source
# Clone the repository
git clone https://github.com/yourusername/pubchem-mcp-server.git
cd pubchem-mcp-server/python_version
# Install the package
pip install -e .
# For enhanced 3D structure handling, install with RDKit
pip install -e ".[rdkit]"
MCP Configuration
To use the server with Claude or other MCP-capable AI models, add the following to your MCP configuration file:
{
"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"
]
}
}
}
Available Tools
get_pubchem_data
Retrieves chemical compound structure and property data.
Parameters:
query(required): Compound name or PubChem CIDformat(optional): Output format - "JSON" (default), "CSV", or "XYZ"include_3d(optional): Whether to include 3D structure (only valid when format is "XYZ")
Example use:
<use_mcp_tool>
<server_name>pubchem</server_name>
<tool_name>get_pubchem_data</tool_name>
<arguments>
{
"query": "aspirin",
"format": "JSON"
}
</arguments>
</use_mcp_tool>
download_structure
Downloads structure files for a compound.
Parameters:
cid(required): PubChem CIDformat(optional): File format - "sdf" (default), "mol", or "smi"filename(optional): Custom filename for the downloaded structure
Example use:
<use_mcp_tool>
<server_name>pubchem</server_name>
<tool_name>download_structure</tool_name>
<arguments>
{
"cid": "2244",
"format": "sdf"
}
</arguments>
</use_mcp_tool>
Project Structure
pubchem-mcp-server/
├── python_version/ # Python implementation
│ ├── mcp_server.py # Main MCP server script
│ ├── setup.py # Package installation script
│ ├── pubchem_mcp_server/ # Core package
│ │ ├── __init__.py
│ │ ├── pubchem_api.py # PubChem API interaction
│ │ ├── xyz_utils.py # 3D structure and XYZ format utilities
│ │ ├── server.py # MCP server implementation
│ │ ├── cli.py # Command-line interface
│ │ └── async_processor.py # Asynchronous request handling
└── LICENSE
Caching
The server uses a caching mechanism to improve performance:
- API responses are cached in memory
- 3D structure data is cached in
~/.pubchem-mcp/cache/
License
This project is licensed under the MIT License - see the LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
