Skip to main content

PyMemSim-MCP is an MCP-enabled extension of PyMemSim that integrates model-source-driven thermodynamic data with membrane process simulations.It enables LLMs and agents to interact with membrane models through standardized, machine-readable inputs, ensuring unit consistency, reproducibility, and reliable AI-assisted workflows.

Project description

PyMemSim-MCP

PyPI Downloads PyPI Python Version License MCP

PyMemSim-MCP exposes PyMemSim membrane simulation capabilities through an MCP server.

Overview 🌐

PyMemSim-MCP is a next-generation framework that brings the Model Context Protocol into chemical engineering modeling and simulation, specifically for membrane-based separation systems.

Built on top of PyMemSim, this package introduces a model-source-driven architecture in which thermodynamic data, transport properties, and governing equations are defined externally in a structured, machine-readable format (e.g., YAML). These model sources are dynamically constructed using tools such as PyThermoLinkDB and PyThermoDB, and then supplied, alongside conventional inputs like temperature, pressure, and composition, to simulation workflows.

Unlike traditional tightly coupled simulation tools, PyMemSim-MCP decouples data, equations, and numerical solvers, enabling:

  • ✅ Consistent and unit-safe thermodynamic definitions across simulations
  • 🔗 Flexible integration with multiple modeling packages and workflows
  • ⚙️ Solver-agnostic execution of mass and heat balance equations
  • 🔍 Transparent and interpretable simulation pipelines

A key innovation of PyMemSim-MCP is its compatibility with agentic workflows, where specialized agents can:

  • 🧠 Extract and structure thermodynamic data from unstructured sources into validated model sources
  • 🤖 Interact with MCP-enabled endpoints to perform simulations, sensitivity analysis, and optimization

This approach addresses critical gaps in current LLM-integrated engineering tools, where inconsistencies in data formats, units, and equations often lead to unreliable results. By enforcing a unified scientific contract, PyMemSim-MCP allows LLMs to control both conventional inputs and structured model sources before executing physics-based computations, significantly improving robustness and reproducibility.

PyMemSim-MCP is particularly suited for:

  • 🧪 Membrane process modeling (e.g., hollow fiber modules, gas separation)
  • 🤝 AI-assisted simulation workflows
  • 🚀 Rapid prototyping and validation of process models
  • 🎓 Educational and research applications in computational chemical engineering

Overall, PyMemSim-MCP represents a step toward trustworthy AI-driven simulation environments, where domain knowledge, data, and numerical methods are seamlessly integrated under a standardized and extensible framework.

Requirements 📋

  • Python >=3.11
  • pip (or uv)

Install the package 📦

pip install pymemsim-mcp

This installs the CLI entrypoint:

  • pymemsim-mcp

Start / Activate the MCP Server ▶️

The server entrypoint is:

  • module: python -m pymemsim_mcp.server
  • script: pymemsim-mcp

Both support the same options.

Case A: STDIO transport (recommended for MCP desktop/agent clients) 🧵

pymemsim-mcp --mode stdio

Equivalent:

python -m pymemsim_mcp.server --mode stdio

Case B: HTTP transport (for network-accessible clients) 🌍

pymemsim-mcp --mode http --host 127.0.0.1 --port 8000 --path /mcp

Equivalent:

python -m pymemsim_mcp.server --mode http --host 127.0.0.1 --port 8000 --path /mcp

CLI Options ⌨️

  • --mode: stdio or http (default: stdio)
  • --host: HTTP bind host (default: 127.0.0.1)
  • --port: HTTP bind port (default: 8000)
  • --path: HTTP endpoint path (default: /mcp)

MCP Client Configuration Examples 🔌

STDIO client config (generic)

{
  "mcpServers": {
    "pymemsim": {
      "command": "pymemsim-mcp",
      "args": ["--mode", "stdio"]
    }
  }
}

HTTP client config (generic)

{
  "mcpServers": {
    "pymemsim": {
      "url": "http://127.0.0.1:8000/mcp"
    }
  }
}

Available Tool 🧩

  • simulate_gas_hfm: build thermo model source from reference content and run gas hollow-fiber membrane simulation.

Development Quick Check ✅

python -m py_compile pymemsim_mcp/server.py
python -m py_compile pymemsim_mcp/interface/gas_hfm.py

Troubleshooting 🩺

  • pymemsim-mcp: command not found

    • Run pip install -e . in the active environment.
    • Confirm environment is activated.
  • Port already in use (HTTP mode)

    • Change port, for example: --port 8010.
  • Import errors

    • Reinstall dependencies: pip install -e ..

❓ FAQ

For any questions, contact me on LinkedIn.

📄 License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.

👨‍💻 Authors

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymemsim_mcp-0.1.1.tar.gz (19.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pymemsim_mcp-0.1.1-py3-none-any.whl (20.3 kB view details)

Uploaded Python 3

File details

Details for the file pymemsim_mcp-0.1.1.tar.gz.

File metadata

  • Download URL: pymemsim_mcp-0.1.1.tar.gz
  • Upload date:
  • Size: 19.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.8

File hashes

Hashes for pymemsim_mcp-0.1.1.tar.gz
Algorithm Hash digest
SHA256 8d20390c1649992358759e09d157546bcc61e1b25272819e455b76e97a2a5560
MD5 e162dd7ea90cf6b8329222a1e164cfe2
BLAKE2b-256 3c262996bb28a0e26038244d49e47d3893cf85975f5a941200ea925c21089e27

See more details on using hashes here.

File details

Details for the file pymemsim_mcp-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for pymemsim_mcp-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fb0b95343a65717a48c224765f61542199dc8be115cbf51a9afb277fb9cdea08
MD5 98bf4172f00f24ffb46d1f68b3cdc4d8
BLAKE2b-256 fed37802cdf2b6db30c6433e7de5f19b7316b25880a4167034a9951a297f77c0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page