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Rdkit Chemical Informatics

Rdkit Chemical Informatics

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github.com/s20ssDeveloper Tools3Updated 71w ago

About Rdkit Chemical Informatics

Rdkit Chemical Informatics integrates RDKit with MCP for chemical informatics tasks. It is intended for users who need molecular images and computed descriptors such as molecular weight and logP.

Key features

  1. 01Generates molecular images
  2. 02Calculates molecular descriptors
  3. 03Uses RDKit for chemical computations
  4. 04Runs as an MCP server over stdio

Use cases

  1. 01Create visual images of molecules
  2. 02Calculate molecular weight and logP
  3. 03Perform chemical informatics tasks through MCP

MCP support

The project starts an MCP server in stdio mode and provides chemical informatics capabilities to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MseeP.ai Security Assessment Badge

MCP RDKit Project

Overview

The mcp_rdkit project integrates the RDKit library with the MCP (Model Context Protocol) framework to provide advanced chemical informatics tools. It includes functionalities for molecular visualization, descriptor calculation, and interaction with an MCP server.

Features

  • Molecular Visualization: Generate images of molecules using RDKit.
  • Descriptor Calculation: Compute molecular descriptors such as molecular weight, logP, and more.
  • MCP Server Integration: Communicate with an MCP server for advanced chemical informatics tasks.

Project Structure

  • mcp_rdkit/

    • __main__.py: Entry point for the application. It initializes the MCP server and runs it in "stdio" mode.
    • rdkit_helper.py: Contains helper functions for RDKit operations, including:
      • Converting PIL images to base64.
      • Interfacing with the MCP server.
      • Utilizing RDKit for chemical computations.
  • setup.py: Configuration for packaging and distribution.

Requirements

  • Python 3.8 or higher
  • RDKit library
  • MCP framework

Installation

  1. Install the package using pip:

    pip install mcp-rdkit
    
  2. Run the application:

    python -m mcp_rdkit
    

Demo

You can integrate this directly into Claude App:

Demo 1 Demo 2 Demo 3

Usage

  • Run the MCP server: The application starts an MCP server that can process chemical informatics tasks.

  • Generate molecular images: Use the RDKit helper functions to visualize molecules.

  • Calculate descriptors: Leverage RDKit's descriptor calculation tools for chemical analysis.

MCP Configuration Example

To use the RDKit server with MCP, add the following configuration to your mcp config file:

"rdkit-server": {
  "type": "stdio",
  "command": "python",
  "args": [
    "-m",
    "mcp_rdkit"
  ]
}

RDKIT MCP is certified and indexed by MCP Review

Verified on MseeP

Comments

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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.