🧪 Enable AI assistants to search and access chemical compound information through a simple MCP interface.
Overview
What is PubChem MCP Server?
The PubChem MCP Server is a tool that enables AI assistants to search and access chemical compound information through a simple Model Context Protocol (MCP) interface, bridging AI models with PubChem's extensive chemical database.
How to use PubChem MCP Server?
To use the PubChem MCP Server, install it via Smithery or manually, then start the server and utilize the provided MCP tools in your AI assistant or application to search for compounds or retrieve detailed information.
Key features of PubChem MCP Server?
- 🔎 Compound Search: Query compounds by name, SMILES, or CID.
- 🧪 Chemical Structure: Access molecular structures and identifiers.
- 📊 Property Data: Retrieve detailed chemical and physical properties.
- 🔬 Advanced Search: Combine multiple parameters for precise queries.
- 🧬 Molecular Visualization: Generate and display molecular structures.
- 📈 Property Analysis: Compare properties across multiple compounds.
- 🗃️ Local Storage: Save frequently used compounds for faster access.
- 📝 Chemistry Prompts: Specialized prompts for chemical analysis.
Use cases of PubChem MCP Server?
- Searching for chemical compounds by name or structure.
- Retrieving detailed information about specific compounds.
- Performing advanced searches with multiple parameters.
- Analyzing chemical properties and structures for research purposes.
FAQ from PubChem MCP Server?
- Can I search for any chemical compound?
Yes! You can search for compounds using their name, SMILES notation, or CID.
- Is there a limit to the number of results returned?
Yes, you can specify the maximum number of results to return for your queries.
- What programming language is used for the server?
The PubChem MCP Server is implemented in Python.