MCP server for drawing tensors with tensordiagram
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# tensordiagram mcp server mcp server that enables AI assistants like Claude to draw diagrams of tensors. ## overview This mcp server provides the `draw_tensor` tool, allowing LLMs to create clear, visual representations of tensors to help users understand tensor shapes, operations, and dimensional transformations. Built on top of [tensordiagram](https://github.com/hardik-vala/tensordiagram) and [FastMCP](https://github.com/jlowin/fastmcp). ## install ### option 1: PyPI ```bash pip install tensordiagram-mcp ``` ### option 2: from source ```bash git clone https://github.com/hardik-vala/tensordiagram.git cd tensordiagram/mcp pip install -e . ``` ### option 3: Docker ```bash git clone https://github.com/hardik-vala/tensordiagram.git cd tensordiagram/mcp docker build -t tensordiagram/mcp:latest . docker run -i --rm --name tensordiagram-mcp tensordiagram/mcp:latest ``` ## configuration ### Claude Desktop Add this to your Claude Desktop configuration file: **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%/Claude/claude_desktop_config.json` #### using pip installation ```json { "mcpServers": { "tensordiagram": { "command": "python", "args": ["-m", "tensordiagram_mcp"] } } } ``` #### using local installation ```json { "mcpServers": { "tensordiagram": { "command": "python", "args": ["/path/to/tensordiagram/mcp/server.py"] } } } ``` #### using Docker ```json { "mcpServers": { "tensordiagram": { "command": "docker", "args": ["run", "-i", "--rm", "--name", "tensordiagram-mcp", "tensordiagram/mcp:latest"] } } } ``` After updating the configuration, restart Claude Desktop. ## usage Once installed, Claude can use the `draw_tensor` tool to create visualizations. Here are some examples: ### example prompts > "Can you show me what a 3x4 tensor looks like?" > "Draw a 2x3x4 tensor in coral color" > "Visualize a 3x3 identity matrix with the…
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