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Materials Project Platform MCP Server

MIT License
2
  • Apple
  • Linux

Materials Project MCP

A Model Context Protocol (MCP) server for querying the Materials Project database using the mp_api client.

Requirements

  • Materials Project API Key - Get one here (free account required)
  • Docker Desktop (must be running)
  • Python 3.12+ with uv

Getting Your Materials Project API Key

  1. Visit Materials Project
  2. Create a free account or log in
  3. Go to your dashboard
  4. Navigate to API settings
  5. Generate or copy your API key
  6. Keep this key secure - you'll need it for setup

Installation Options

Using Docker Run
  1. Install Docker Desktop:
    • Download from docker.com
    • Install and make sure Docker Desktop is running
  2. Pull the Docker image:
    docker pull benedict2002/materials-project-mcp
  3. Test the installation:
    docker run --rm -i -e MP_API_KEY="your-api-key" benedict2002/materials-project-mcp
Using Docker Compose (Easiest)
  1. Install Docker Desktop and make sure it's running
  2. Clone the repository:
    git clone <repository-url> cd materials-project-mcp
  3. Create a .env file:
    echo "MP_API_KEY=your-materials-project-api-key" > .env
  4. Test the setup:
    docker-compose up
  5. For background running:
    docker-compose up -d
  6. Stop the service:
    docker-compose down

Step 1 : Local Python Installation

  1. Install uv (if not already installed):
    curl -Ls https://astral.sh/uv/install.sh | sh
  2. Clone the repository:
    git clone <repository-url> cd materials-project-mcp
  3. Create and activate virtual environment:
    uv venv source .venv/bin/activate # Linux/macOS # or .venv\Scripts\activate # Windows
  4. Install dependencies:
    uv pip install -r requirements.txt
  5. Set your API key:
    export MP_API_KEY="your-api-key" # Linux/macOS # or set MP_API_KEY=your-api-key # Windows
  6. Test the installation:
    python server.py

Step 2 : Setup with Claude Desktop

  1. Locate your Claude configuration file:
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  2. Choose your configuration method:Using Docker Run
    { "mcpServers": { "Materials Project MCP": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "MP_API_KEY=your-materials-project-api-key", "benedict2002/materials-project-mcp" ] } } }
  3. Replace your-materials-project-api-key with your actual API key
  4. Ensure Docker Desktop is running
  5. Restart Claude Desktop
  6. Verify installation:
    • Open a new chat in Claude
    • Ask something like "Search for silicon materials in the Materials Project database" or test any of the availabe tools.
    • You should see Materials Project data in the response

Setup with VS Code Copilot

  1. Open VS Code Settings:
    • Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (macOS)
    • Type "Preferences: Open User Settings (JSON)"
    • Select it to open settings.json
  2. Add MCP configuration:
    { "mcp": { "inputs": [], "servers": { "Materials Project MCP": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "MP_API_KEY=your-api-key", "benedict2002/materials-project-mcp" ] } } }, "chat.mcp.discovery.enabled": true, "workbench.secondarySideBar.showLabels": false }
  3. Alternative: Local Python setup for VS Code:
    { "mcp": { "inputs": [], "servers": { "Materials Project MCP": { "command": "/usr/local/bin/uv", "args": [ "run", "--with", "mcp[cli],aiohttp,pydantic,mp_api,pymatgen,emmet-core", "/path/to/your/server.py" ], "env": { "MP_API_KEY": "your-api-key" } } } }, "chat.mcp.discovery.enabled": true }
  4. Replace placeholders:
    • your-api-key with your Materials Project API key
    • /path/to/your/server.py with the actual path to server.py
  5. Ensure Docker Desktop is running (for Docker configurations)
  6. Restart VS Code
  7. Test in VS Code:
    • Open VS Code chat/copilot
    • Ask about materials from the Materials Project
    • The Docker container will start automatically when VS Code makes requests

Testing & Development (developers)

Testing Your Installation

  1. Test MCP server locally:
    mcp dev server.py
    Look for the line "🔗 Open inspector with token pre-filled:" and use that URL

Development Workflow

  1. Create a feature branch:
    git checkout -b feature-name
  2. Make your changes and test:
    # Local testing with MCP Inspector mcp dev server.py # Use the inspector URL to test your changes interactively # Docker testing docker build -t materials-project-mcp-local . docker run --rm -i -e MP_API_KEY="your-api-key" materials-project-mcp-local # Docker Compose testing docker-compose up --build
  3. Commit and push:
    git add . git commit -m "Add feature description" git push origin feature-name
  4. Open a pull request

Available Tools & Features

  • search_materials - Search by elements, band gap range, stability
  • get_structure_by_id - Get crystal structures and lattice parameters
  • get_electronic_bandstructure - Plot electronic band structures
  • get_electronic_dos_by_id - Get electronic density of states
  • get_phonon_bandstructure - Plot phonon band structures
  • get_phonon_dos_by_id - Get phonon density of states
  • get_ion_reference_data_for_chemsys - Download aqueous ion reference data for Pourbaix diagrams
  • get_cohesive_energy - Calculate cohesive energies
  • get_atom_reference_data - Retrieve reference energies of isolated neutral atoms
  • get_magnetic_data_by_id - Magnetic properties and ordering
  • get_charge_density_by_id - Charge density data
  • get_dielectric_data_by_id - Dielectric constants and properties
  • get_diffraction_patterns - X-ray and neutron diffraction
  • get_xRay_absorption_spectra - XAFS, XANES, EXAFS spectra
  • get_elastic_constants - Mechanical properties
  • get_suggested_substrates - Find substrates for thin films
  • get_thermo_stability - Thermodynamic stability analysis
  • get_surface_properties - Surface energies, work functions, and Wulff shapes
  • get_grain_boundaries - Computed grain boundaries for a material
  • get_insertion_electrodes - Insertion electrode and battery data
  • get_oxidation_states - Element oxidation states, formula, and structure info

Troubleshooting

Common Issues

  1. "Invalid API key" error:
    • Verify your API key is correct
    • Check that you've set the environment variable properly
    • Ensure your Materials Project account is active
  2. "Docker not found" or "Cannot connect to Docker daemon":
    • Make sure Docker Desktop is installed and running
    • You should see the Docker Desktop icon in your system tray/menu bar
    • Try docker --version to verify Docker is accessible
    • On Windows/Mac: Open Docker Desktop application
    • On Linux: Start Docker service with sudo systemctl start docker
  3. Container startup issues:
    • Docker containers start automatically when Claude/VS Code makes requests
    • No need to manually start containers - they're ephemeral (start → run → stop)
    • Each query creates a fresh container instance
  4. Docker Compose issues:
    • Make sure Docker Compose is installed: docker-compose --version
    • Check your .env file exists and has the correct API key
    • Verify the docker-compose.yml file is in the correct location
    • Ensure Docker Desktop is running
  5. MCP server not recognized in Claude:
    • Check your configuration file path
    • Verify JSON syntax is correct
    • Restart Claude Desktop after configuration changes
    • Ensure Docker Desktop is running

Getting Help


Authors

  • Benedict Debrah
  • Peniel Fiawornu

Reference

Yin, Xiangyu. 2025. "Building an MCP Server for the Materials Project." March 23, 2025. https://xiangyu-yin.com/content/post_mp_mcp.html.

-
security - not tested
A
license - permissive license
-
quality - not tested

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

  1. Requirements
    1. Getting Your Materials Project API Key
  2. Installation Options
    1. Step 1: Docker (Recommended)
    2. Step 1 : Local Python Installation
  3. Step 2 : Setup with Claude Desktop
    1. Setup with VS Code Copilot
      1. Testing & Development (developers)
        1. Testing Your Installation
        2. Development Workflow
      2. Available Tools & Features
        1. Troubleshooting
          1. Common Issues
          2. Getting Help
          3. Authors
          4. Reference

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