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Rdkit Chemical Informatics MCP Server

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Basic information

About Rdkit Chemical Informatics MCP Server

No overview available yet

#rdkit#chemical-reactions

Rdkit Chemical Informatics MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "rdkit": {
      "command": "python",
      "args": [
        "-m",
        "mcp_rdkit"
      ]
    }
  }
}

Rdkit Chemical Informatics MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Rdkit Chemical Informatics?

Rdkit Chemical Informatics integrates the RDKit library with the MCP (Model Context Protocol) framework to provide advanced chemical informatics tools. It is designed for users who need molecular visualization, descriptor calculation, and MCP server interaction.

How to use Rdkit Chemical Informatics?

Install the package via pip install mcp-rdkit, then run python -m mcp_rdkit to start the MCP server in stdio mode. Add the provided JSON configuration to your MCP config file to connect the server.

Key features of Rdkit Chemical Informatics

  • Generate images of molecules using RDKit.
  • Compute molecular descriptors (e.g., molecular weight, logP).
  • Communicate with an MCP server for chemical informatics tasks.
  • Runs as a stdio-based MCP server.
  • Includes helper functions for PIL-to-base64 conversion.

Use cases of Rdkit Chemical Informatics

  • Visualize chemical structures in an MCP-enabled application.
  • Calculate molecular properties for cheminformatics analysis.
  • Integrate RDKit capabilities into AI assistants via MCP.

Frequently asked questions

1

What does Rdkit Chemical Informatics do?

It wraps RDKit’s molecular visualization and descriptor calculation functions into an MCP server, allowing AI agents to perform chemical informatics tasks.

2

What are the runtime requirements?

Python 3.8 or higher, the RDKit library, and the MCP framework.

3

How do I install and run the server?

Install with `pip install mcp-rdkit` and run with `python -m mcp_rdkit`.

4

How do I configure it with an MCP client?

Add the following JSON to your MCP configuration: `{"rdkit-server": {"type": "stdio", "command": "python", "args": ["-m", "mcp_rdkit"]}}`.

5

What transport protocol does it use?

The server runs in stdio mode. No authentication is mentioned.

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