Computing Mcp
Description
# symbolica-mcp A scientific computing Model Context Protocol (MCP) server allows AI, such as Claude, to perform symbolic computing, conduct calculations, analyze data, and generate visualizations. This is particularly useful for scientific and engineering applications…
About
# symbolica-mcp A scientific computing Model Context Protocol (MCP) server allows AI, such as Claude, to perform symbolic computing, conduct calculations, analyze data, and generate visualizations. This is particularly useful for scientific and engineering applications, including quantum computing, all within a…
Details
- Author
- YuChenSSR
- Downloads
- 303
- Categories
- Developer Tools, Other
Jump to
- Run computations with NumPy, SciPy, SymPy, Pandas
- Symbolic mathematics and differential equation solving
- Linear algebra and matrix manipulations
- Quantum computing analysis
- Data visualizations with Matplotlib and Seaborn
- Machine learning with scikit-learn
- Cross-platform support for Windows, macOS, Linux
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Computing McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Pull the Docker image from Docker Hub and run it with a mount volume. For integration, add the Docker run command as an MCP server in Claude for Desktop’s configuration file.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"computing mcp": {
"computing-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"/tmp:/app/shared",
"ychen94/computing-mcp:latest"
]
}
}
}
}McpServers
{
"computing-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"/tmp:/app/shared",
"ychen94/computing-mcp:latest"
]
}
}symbolica-mcp
A scientific computing Model Context Protocol (MCP) server allows AI, such as Claude, to perform symbolic computing, conduct calculations, analyze data, and generate visualizations. This is particularly useful for scientific and engineering applications, including quantum computing, all within a containerized environment.
Features
- Run scientific computing operations with NumPy, SciPy, SymPy, Pandas
- Perform symbolic mathematics and solve differential equations
- Support for linear algebra operations and matrix manipulations
- Quantum computing analysis
- Create data visualizations with Matplotlib and Seaborn
- Perform machine learning operations with scikit-learn
- Execute tensor operations and complex matrix calculations
- Analyze data sets with statistical tools
- Cross-platform support (automatically detects Windows, macOS, and Linux), especially for users with Mac M series chips
- Works on both Intel/AMD (x86_64) and ARM processors
Quick Start
Using the Docker image
```bash
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