What is the Concrete-Properties-MCP Server used for?
It allows AI agents to compute section properties and capacities of reinforced concrete sections by wrapping the `concreteproperties` Python library into MCP tools.
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Basic information
Concrete Section Properties AI MCP Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"concrete": {
"command": "python",
"args": [
"C:\\your_path_to_the_extracted_server\\concrete-properties-mcp\\src\\server.py"
]
}
}
}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.
The Concrete-Properties-MCP Server provides a unified API interface for interacting with the Concrete Properties Python library. It enables AI-driven calculation of section properties and capacities of reinforced concrete sections through the Model Context Protocol.
Install required Python libraries (mcp, matplotlib, concreteproperties), download the repository, optionally edit src/config.json, then configure an MCP‑capable AI client (e.g., Claude Desktop, 5ire, or VS Code Copilot) to launch the server with python src/server.py.
It allows AI agents to compute section properties and capacities of reinforced concrete sections by wrapping the `concreteproperties` Python library into MCP tools.
The server requires Python libraries `mcp>=0.1.0`, `matplotlib>=3.10.1`, and `concreteproperties>=0.6.4`.
Edit the file `src/config.json` to adjust mesh size, concrete material properties (density, stress block parameters, ultimate strain, flexural tensile strength), and rebar properties (mesh points, density, fracture strain).
Open Claude Desktop → File → Settings → Developer → Edit Config. Add a JSON entry in `claude_desktop_config.json` with `"command":"python"` and `"args":["path\\to\\src\\server.py"]` (use double backslashes).
Run the MCP Inspector with the command: `npx @modelcontextprotocol/inspector mcp run src\server.py`.
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