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
5.7K

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.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.0K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.7K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.4K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.0K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.7K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
7.9K
4 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.5K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
65.0K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.6K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.9K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.6K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
20.4K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
43.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase