What are the key features of Python Local?

Key features include an interactive Python REPL, persistent sessions with separate state, access to session history via a custom URI, and the ability to capture stdout/stderr output. It also supports both expressions and statements.

How do I use the persistent sessions feature?

Python Local maintains separate state for each session using a unique `session_id`. This allows you to run code in different contexts without affecting each other.

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Python Local MCP Server

Runs Python code locally within an interactive REPL environment.

Local serverstdioPython★ 55

What is the Python Local MCP Server?

Runs Python code locally within an interactive REPL environment.

The short version

An MCP Server that provides an interactive Python REPL (Read-Eval-Print Loop) environment.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
python_repl	Executes Python code in a persistent session

How to install the Python Local MCP Server

{
  "mcpServers": {
    "python_local": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/python_local",
        "run",
        "python_local"
      ]
    }
  }
}

Maintainer configuration example. Replace example paths and credential placeholders before connecting.

Example prompts to try

“Use Python Local to python repl.”
“Use Python Local to Resources.”
“Use Python Local to Tools.”

Frequently asked questions

Python Local is an MCP server that provides an interactive Python REPL (Read-Eval-Print Loop) environment. It allows you to run Python code locally and interact with it in real-time.