taichi Model Context Protocol (MCP) Server

Productive, portable, and performant GPU programming in Python.

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C++ 1 file · ~125,776 tokens #computer-graphics #differentiable-programming #gpu #gpu-programming #sparse-computation #taichi

taichi MCP Server

MCP server for taichi-dev/taichi

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "taichi": {
      "command": "npx",
      "args": [
        "-y",
        "@taichi-dev/taichi"
      ]
    }
  }
}

{
  "mcpServers": {
    "taichi": {
      "command": "npx",
      "args": [
        "-y",
        "@taichi-dev/taichi"
      ]
    }
  }
}

{
  "mcpServers": {
    "taichi": {
      "command": "npx",
      "args": [
        "-y",
        "@taichi-dev/taichi"
      ]
    }
  }
}

{
  "mcpServers": {
    "taichi": {
      "command": "npx",
      "args": [
        "-y",
        "@taichi-dev/taichi"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "taichi": {
      "command": "npx",
      "args": [
        "-y",
        "@taichi-dev/taichi"
      ]
    }
  }
}

docker run -i --rm mcp/taichi