About Azure Code Interpreter MCP
Azure Code Interpreter MCP is an MCP server published by toby in the Developer Tools category: azure Code Interpreter MCP, run Python in the cloud.
The repository has 2 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/toby/azure-code-interpreter-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
Azure Code Interpreter MCP Server
This MCP server gives LLMs the ability to run Python code in a secure and sandboxed environment. The server is built on top of the Azure Code Interpreter and gives the LLM the ability to execute code and download generated files in sessions that are ephemeral and isolated from the rest of the system.
Setup
The server uses the az Azure CLI client for authentication, so make sure that is installed and authenticated. You'll need to setup a resource group and session pool according to these instructions. Be sure to set the --network-status EgressEnabled flag when creating the session pool if you want generated code to access the internet.
You need to build the azure-code-interpreter-mcp binary with go and install it in your $PATH or reference it directly in your LLM tool.
Usage
Once you have created the requred Azure resources and authenticated with az, you need to set the following environment variables in your LLM tool:
AZURE_SUBSCRIPTION_ID: The ID of the Azure subscription that contains the resource group.AZURE_RESOURCE_GROUP: The name of the resource group that contains the session pool.AZURE_SESSION_POOL: The name of the session pool that the server should use.AZURE_REGION: The region that the session pool is in.AZURE_DOWNLOAD_DIRECTORY: The directory where the server should save downloaded files. This directory must be writable by the server process.
Supported Server Functions
The LLM has access to the following functionality.
New Session
The LLM can create a new session as it sees fit for deliniating tasks.
Execute
Execute Python code in the context of the session. The LLM is prompted to save any created files to the /mnt/data directory, which Azure has setup to allow files to be downloaded.
List Files
This will list the files that have been stored in the /mnt/data directory by the executed code.
Download Files
Download the files from /mnt/data to the directory specified by AZURE_DOWNLOAD_DIRECTORY on the server.
README fetched from the repository 7 days ago. The original is authoritative.