pymc

Bayesian Modeling and Probabilistic Programming in Python

9,698 stars Python 1 file · ~26,637 tokens #bayesian-inference #mcmc #probabilistic-programming #pytensor #python #statistical-analysis #variational-inference

pymc MCP Server

MCP server for pymc-devs/pymc

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "pymc": {
      "command": "npx",
      "args": [
        "-y",
        "@pymc-devs/pymc"
      ]
    }
  }
}

{
  "mcpServers": {
    "pymc": {
      "command": "npx",
      "args": [
        "-y",
        "@pymc-devs/pymc"
      ]
    }
  }
}

{
  "mcpServers": {
    "pymc": {
      "command": "npx",
      "args": [
        "-y",
        "@pymc-devs/pymc"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "pymc": {
      "command": "npx",
      "args": [
        "-y",
        "@pymc-devs/pymc"
      ]
    }
  }
}

docker run -i --rm mcp/pymc