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mcp-server-cantera

An MCP server wrapped around Cantera to facilitate use by an LLM for accurate thermodynamic and transport property, equilibrium, and chemical kinetics calculations.

Overview

This MCP (Model Context Protocol) server provides an interface to Cantera, a powerful open-source software suite for chemical equilibrium and kinetics problems. The server enables LLMs to use Cantera to perform accurate, simulations for combustion, equilibrium, and reaction pathway analysis.

Features

• Thermodynamic Properties: Get comprehensive properties including enthalpy, entropy, heat capacities, and Gibbs energy
• Transport Properties: Calculate viscosity, thermal conductivity, diffusion coefficients, and Prandtl number
• Equilibrium Calculations: Calculate equilibrium compositions for various thermodynamic bases (TP, HP, SP, UV)
• Combustion Analysis: Compute adiabatic flame temperatures for fuel-oxidizer systems
• Metal Combustion: Multi-phase equilibrium for metal-air/oxygen combustion (Fe, Al, Mg, Ti, Zn, and more)
• Kinetic Analysis: Stateful "lab bench" for reaction rate and pathway analysis
• Mechanism Support: Built-in and custom mechanism file support with automatic resolution
• LLM-Friendly: Designed to work seamlessly with language models through the MCP protocol

Installation

Prerequisites

• Python 3.10 or higher
• uv package manager

If you don't have uv installed, you can install it with:

# On macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

From PyPI

# Using uv
uv pip install mcp-server-cantera

# Using pip
pip install mcp-server-cantera

From Source

# Clone the repository
git clone https://github.com/StepFunctionLLC/mcp-server-cantera.git
cd mcp-server-cantera

# Install the package
uv pip install -e .

With Development Dependencies

uv pip install -e ".[dev]"

Requirements

• Python 3.10 or higher
• Cantera 3.0.0 or higher
• MCP 0.9.0 or higher

Repository Structure

The repository is organized as follows:

• `src/`: Source code for the MCP server (includes bundled mechanism files)
• `examples/`: Comprehensive markdown examples showing complete user prompts and server responses
• `scripts/`: Python scripts generated during example execution (e.g., plotting scripts)
• `output/`: Figures and data files generated by the examples
• `tests/`: Unit tests for server functionality

Comprehensive Examples

In addition to the snippets below, the `examples/` directory contains full conversation logs and outputs for common tasks. These examples demonstrate the "dialog" between the user and the server, including generated plots and analysis.

1. [Thermodynamic Properties](examples/01_thermodynamic_transport_properties.md): Retrieving full state data for air at 50°C.
2. [Specific Heat Plotting](examples/02_specific_heat_vs_temperature.md): Generating a plot of Cp vs Temperature for air (0-1000°C).
3. [Combustion Analysis](examples/03_methane_air_combustion.md): Analyzing flame temperature and product composition for Methane/Air flames.
4. [Auto-Ignition](examples/04_batch_reactor_ignition.md): Simulating H2/Air auto-ignition and calculating ignition delay times.

Usage

Running the Server

The server can be started using the command-line interface:

mcp-server-cantera

Configuring MCP Clients

To use this MCP server with an MCP-compatible client, add it to your client's configuration file.

If installed from PyPI (recommended), use uvx to run the server directly:

#### Claude Desktop

macOS: Edit ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: Edit %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "cantera": {
      "command": "uvx",
      "args": [
        "mcp-server-cantera"
      ]
    }
  }
}

After updating the configuration file, restart Claude Desktop for the changes to take effect.

#### Cursor

macOS: Edit ~/.cursor/mcp.json

Windows: Edit %USERPROFILE%\.cursor\mcp.json

{
  "mcpServers": {
    "Cantera": {
      "command": "uvx",
      "args": [
        "mcp-server-cantera"
      ]
    }
  }
}

After updating the configuration file, restart Cursor for the changes to take effect.

#### Gemini CLI

Edit ~/.gemini/settings.json (or create it if it doesn't exist):

{
  "mcpServers": {
    "Cantera": {
      "command": "uvx",
      "args": [
        "mcp-server-cantera"
      ]
    }
  }
}

The Gemini CLI will automatically connect to the server on next run.

#### Antigravity (VS Code Extension)

Antigravity reads MCP server configuration from the same file as the Gemini CLI:

Path: ~/.gemini/settings.json

{
  "mcpServers": {
    "Cantera": {
      "command": "uvx",
      "args": [
        "mcp-server-cantera"
      ]
    }
  }
}

Reload VS Code or the Antigravity extension to pick up the changes.

Available Tools

Thermodynamic & Transport Properties

#### get_mixture_properties Get comprehensive thermodynamic and transport properties of a lab bench mixture.

Returns: Temperature, pressure, density, enthalpy, entropy, Cp, Cv, γ, viscosity, thermal conductivity, speed of sound, and mole fractions.

#### get_species_properties Get detailed thermodynamic properties for a specific species from a mechanism file. Includes molecular weight, composition, Cp, Cv, enthalpy, entropy, and Gibbs energy.

#### get_species_thermo Calculate thermodynamic properties for a specific species with automatic database fallback. Searches GRI-Mech 3.0 first (fast, common combustion species), then falls back to the NASA Gas Database for broader coverage (~1000+ species including noble gases, metals, etc.).

Parameters:

• species — Chemical formula or species name (e.g., 'CH4', 'CO2', 'He', 'Xe')
• temperature_k — Temperature in Kelvin
• pressure_bar — Pressure in bar (default: 1.0)

#### check_species_availability Check which database contains specific species. Useful for planning simulations and verifying species availability before calculations. Searches GRI-Mech 3.0 and NASA Gas Database.

Parameters:

• species_list — List of species names to check (e.g., ['CH4', 'He', 'Xe'])

Equilibrium Calculations

#### equilibrate Calculate equilibrium composition of a gas mixture.

Bases:

• TP — Constant temperature and pressure
• HP — Constant enthalpy and pressure (adiabatic)
• SP — Constant entropy and pressure (isentropic)
• UV — Constant internal energy and volume

Returns: Equilibrium state, thermodynamic changes (ΔH, ΔG), and equilibrium mole fractions.

Combustion Analysis

#### calculate_adiabatic_flame_temperature Calculate the adiabatic flame temperature for combustion of a fuel with an oxidizer.

Parameters:

• mechanism — Cantera mechanism file (e.g., gri30.yaml)
• fuel — Fuel composition (e.g., CH4:1 or H2:1)
• oxidizer — Oxidizer composition (e.g., O2:1, N2:3.76 for air)
• equivalence_ratio — φ=1 stoichiometric, φ<1 lean, φ>1 rich
• initial_temperature — Initial temperature in Kelvin
• pressure — Pressure in Pascals

#### calculate_metal_combustion_equilibrium Calculate equilibrium temperature and products for metal-oxygen/air combustion using multi-phase equilibrium.

Supported metals: Fe, Al, Mg, Ti, Zn, Cu, Cr, Mn, Ni, Co, and more.

This tool dynamically builds a mechanism from NASA thermodynamic databases (nasa_gas.yaml and nasa_condensed.yaml) and performs multi-phase equilibrium to determine:

• Adiabatic flame temperature
• Gas phase equilibrium composition
• Condensed phase (solid/liquid oxide) products

Parameters:

• metal — Metal element symbol (e.g., Fe, Al, Mg)
• oxidizer — O2 (pure oxygen) or air
• equivalence_ratio — Ratio of metal to stoichiometric (default: 1.0)
• initial_temperature — Initial temperature in Kelvin (default: 298.15)
• pressure — Pressure in Pascals (default: 101325)

Lab Bench (Stateful Kinetic Analysis)

The "lab bench" provides stateful storage for mixtures, enabling multi-step kinetic and pathway analysis.

#### create_lab_mixture Create a named mixture on the lab bench for subsequent analysis.

{
  "name": "flame_1",
  "mechanism": "gri30.yaml",
  "temperature": 1500,
  "pressure": 101325,
  "composition": "CH4:0.05, O2:0.1, N2:0.85"
}

#### list_lab_mixtures List all mixtures currently stored on the lab bench with their states.

#### get_reaction_rates Get the fastest reactions occurring in a named mixture. Useful for understanding which reactions dominate under current conditions.

Parameters:

• name — Lab bench mixture identifier
• threshold — Minimum net rate of progress to report (kmol/m³/s)

#### get_species_production_contributors Identify which reactions are creating or consuming a specific species. Critical for pathway analysis.

Example questions:

• "Where is the NO coming from?"
• "What reactions consume OH?"

Parameters:

• name — Lab bench mixture identifier
• species — Species to analyze (e.g., OH, NO, CO2)
• limit — Number of top reactions to show (default: 5)

Reactor Network Tools

#### run_batch_reactor Simulate a Constant Pressure (Ideal Gas) Batch Reactor over time. Use this to see how temperature and composition evolve during combustion or other chemical reactions.

Parameters:

• name — Lab bench mixture identifier
• duration — Integration time in seconds (e.g., 0.01 for 10ms)
• steps — Number of time-points to report (default: 10)

Note: The mixture state on the lab bench is updated to the final reacted state after simulation.

#### compute_ignition_delay Calculate the auto-ignition delay time of the mixture. Defined as the time point where the temperature rise is steepest (dT/dt is max). This is commonly used for characterizing fuel reactivity and validating chemical kinetic mechanisms.

Parameters:

• name — Lab bench mixture identifier
• max_time — Maximum simulation time before giving up (default: 1.0 seconds)

Note: This tool does NOT update the lab bench mixture state to preserve the original mixture for other tests.

Mechanism Management

#### list_available_mechanisms List all available Cantera mechanism files, including both built-in and custom mechanisms.

Built-in mechanisms:

• gri30.yaml — GRI-Mech 3.0 for natural gas combustion (53 species, 325 reactions)
• h2o2.yaml — Hydrogen-oxygen combustion (9 species, 28 reactions)
• air.yaml — Simple air model (N2, O2, Ar)
• nasa_gas.yaml — NASA thermodynamic database for gases
• liquidvapor.yaml — Pure substance liquid-vapor equilibrium

Custom mechanisms: Place YAML mechanism files in the mechanisms/ folder at the repository root for automatic discovery.

#### list_species_in_mechanism List all species defined in a mechanism file, organized by primary element.

Example Use Cases

1. Hydrogen-Air Combustion Analysis

Calculate the adiabatic flame temperature for stoichiometric hydrogen combustion in air:

{
  "tool": "calculate_adiabatic_flame_temperature",
  "arguments": {
    "mechanism": "h2o2.yaml",
    "fuel": "H2:1",
    "oxidizer": "O2:1, N2:3.76",
    "equivalence_ratio": 1.0,
    "initial_temperature": 298.15,
    "pressure": 101325
  }
}

2. Iron-Air Combustion (Metal Fuel)

Calculate the adiabatic flame temperature for stoichiometric iron combustion in air, including solid oxide products:

{
  "tool": "calculate_metal_combustion_equilibrium",
  "arguments": {
    "metal": "Fe",
    "oxidizer": "air",
    "equivalence_ratio": 1.0,
    "initial_temperature": 298.15,
    "pressure": 101325
  }
}

This returns:

• Adiabatic flame temperature (~1800-2000 K for Fe/air)
• Gas phase products (N2, excess O2, trace oxides)
• Condensed phase products (Fe2O3, Fe3O4, FeO)

3. Aluminum-Oxygen Combustion

High-energy aluminum combustion in pure oxygen:

{
  "tool": "calculate_metal_combustion_equilibrium",
  "arguments": {
    "metal": "Al",
    "oxidizer": "O2",
    "equivalence_ratio": 1.0
  }
}

4. Methane-Air Properties and Equilibrium

Get transport properties of a methane-air mixture:

{
  "tool": "get_transport_properties",
  "arguments": {
    "mechanism": "gri30.yaml",
    "temperature": 500,
    "pressure": 101325,
    "composition": "CH4:1, O2:2, N2:7.52"
  }
}

5. Reaction Pathway Analysis

Analyze NO formation in a combustion mixture:

# Step 1: Create mixture on lab bench
{
  "tool": "create_lab_mixture",
  "arguments": {
    "name": "combustor",
    "mechanism": "gri30.yaml",
    "temperature": 1800,
    "pressure": 101325,
    "composition": "CH4:0.05, O2:0.1, N2:0.85"
  }
}

# Step 2: Analyze NO production pathways
{
  "tool": "get_species_production_contributors",
  "arguments": {
    "name": "combustor",
    "species": "NO",
    "limit": 5
  }
}

6. Equilibrium at Different Conditions

Calculate equilibrium at constant enthalpy and pressure (adiabatic):

{
  "tool": "equilibrate",
  "arguments": {
    "mechanism": "gri30.yaml",
    "temperature": 1500,
    "pressure": 101325,
    "composition": "CH4:1, O2:2, N2:7.52",
    "basis": "HP"
  }
}

7. Batch Reactor Simulation

Simulate how a fuel-air mixture evolves over time in a batch reactor:

# Step 1: Create mixture on lab bench
{
  "tool": "create_lab_mixture",
  "arguments": {
    "name": "reactor",
    "mechanism": "gri30.yaml",
    "temperature": 1200,
    "pressure": 101325,
    "composition": "CH4:1, O2:2, N2:7.52"
  }
}

# Step 2: Run batch reactor simulation
{
  "tool": "run_batch_reactor",
  "arguments": {
    "name": "reactor",
    "duration": 0.001,
    "steps": 10
  }
}

8. Ignition Delay Calculation

Calculate the auto-ignition delay time — critical for engine knock and safety analysis:

# Step 1: Create stoichiometric H2/air mixture at elevated temperature
{
  "tool": "create_lab_mixture",
  "arguments": {
    "name": "ignition_test",
    "mechanism": "h2o2.yaml",
    "temperature": 1000,
    "pressure": 101325,
    "composition": "H2:2, O2:1, N2:3.76"
  }
}

# Step 2: Compute ignition delay
{
  "tool": "compute_ignition_delay",
  "arguments": {
    "name": "ignition_test",
    "max_time": 0.1
  }
}

Custom Mechanisms

The package ships with the following mechanism files bundled as package data:

• nasa_gas.yaml — Required for metal combustion and species thermo (gas phase species)
• nasa_condensed.yaml — Required for metal combustion (solid/liquid species)
• JetSurf2.yaml — Jet fuel surrogate mechanism

To use additional custom mechanism files:

1. Place YAML mechanism files in the mechanisms/ folder inside the installed package
2. Reference them by filename in any tool (e.g., "mechanism": "JetSurf2.yaml")
3. The server automatically resolves the full path

Development

Running Tests

uv run pytest

Code Formatting

uv run black src/

Linting

uv run ruff check src/

Type Checking

uv run mypy src/

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

About Cantera

Cantera is an open-source suite of tools for problems involving chemical kinetics, thermodynamics, and transport processes. For more information, visit cantera.org.

Acknowledgments

This MCP server is built on top of:

• Cantera — Chemical kinetics and thermodynamics library
• MCP — Model Context Protocol for LLM integration
• FastMCP — Clean, decorator-based MCP server framework
• NASA Thermodynamic Databases — For metal combustion species data