The MCP Code Executor is an MCP server that allows LLMs to execute Python code within a specified Conda environment.
The MCP Code Executor is an MCP server that allows LLMs to execute Python code within a specified Conda environment. This enables LLMs to run code with access to libraries and dependencies defined in the Conda environment.
git clone https://github.com/bazinga012/mcp_code_executor.git
cd mcp_code_executor
npm install
npm run build
To configure the MCP Code Executor server, add the following to your MCP servers configuration file:
{
"mcpServers": {
"mcp-code-executor": {
"command": "node",
"args": [
"/path/to/mcp_code_executor/build/index.js"
],
"env": {
"CODE_STORAGE_DIR": "/path/to/code/storage",
"CONDA_ENV_NAME": "your-conda-env"
}
}
}
}
Replace the placeholders:
/path/to/mcp_code_executor
with the absolute path to where you cloned this repository/path/to/code/storage
with the directory where you want the generated code to be storedyour-conda-env
with the name of the Conda environment you want the code to run inOnce configured, the MCP Code Executor will allow LLMs to execute Python code by generating a file in the specified CODE_STORAGE_DIR
and running it within the Conda environment defined by CONDA_ENV_NAME
.
LLMs can generate and execute code by referencing this MCP server in their prompts.
Contributions are welcome! Please open an issue or submit a pull request.
This project is licensed under the MIT License.
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