Gnnepcsaft MCP Server
G

Gnnepcsaft MCP Server

GNNEPCSAFT MCP Server is an implementation based on the Model Context Protocol (MCP) for thermodynamic calculations of the GNNePCSAFT tool. It predicts ePC - SAFT parameters through Graph Neural Networks (GNNs), supports the calculation of thermodynamic properties such as density and vapor pressure for pure substances and mixtures, and can automatically obtain molecular data from PubChem.
2 points
6.8K

What is GNNEPCSAFT MCP Server?

GNNEPCSAFT MCP Server is an implementation tool for the Model Context Protocol (MCP). It estimates ePC - SAFT parameters through Graph Neural Networks (GNNs) to predict thermodynamic properties such as molecular density and vapor pressure. This tool can provide accurate calculations for any molecule, regardless of the availability of experimental data.

How to use GNNEPCSAFT MCP Server?

Simply install the necessary dependencies and start the server to begin using GNNEPCSAFT for complex thermodynamic calculations.

Applicable scenarios

Suitable for researchers and engineers who need to quickly estimate molecular properties, as well as application developers who need to integrate thermodynamic calculation capabilities.

Main features

Molecular parameter estimation
Automatically estimate ePC - SAFT parameters using GNN technology.
Prediction of multiple thermodynamic properties
Support the prediction of multiple properties such as density, vapor pressure, enthalpy of vaporization, and critical points.
Support for pure substances and mixtures
Accurate calculations can be performed for both single compounds and complex mixtures.
Automatic data collection
Automatically obtain molecular - related information from the PubChem database.
Integration with large - language models
Designed for large - scale language models with thermodynamic awareness.
Advantages
Predict thermodynamic properties without experimental data.
Support efficient calculation of multiple thermodynamic properties.
High degree of automation, reducing manual intervention.
Suitable for a wide range of application scenarios, including scientific research and industrial fields.
Limitations
Requires support from a Python environment and the uvx tool.
Calculations under certain extreme conditions may not be accurate enough.
Initial setup may require some technical background knowledge.

How to use

Install dependencies
Ensure that Python and the uvx tool are installed.
Start the server
Run the command to start the GNNEPCSAFT MCP Server.
Configure the client
Configure the MCP server address in the client.

Usage examples

Predict the vapor pressure of ethanol
Use GNNEPCSAFT MCP Server to estimate the vapor pressure of ethanol at different temperatures.
Predict thermodynamic properties of mixtures
Predict the thermodynamic properties of a mixture of ethanol and water.

Frequently Asked Questions

What tools are required to run the server?
Does it support mixture calculations?
What is the data source?
What calculations are supported?
Is this an open - source project?

Related resources

Official documentation
Understand the basic knowledge of the MCP protocol.
GitHub repository
Access the source code and the latest version.
Demo video
Watch how to quickly get started with GNNEPCSAFT MCP Server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "gnnepcsaft": {
      "command": "uvx",
      "args": ["--from", "gnnepcsaft-mcp-server", "gnnepcsaftmcp"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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