# Conda Executor

> Use this tool when you need to execute Python code in isolated and configurable Conda environments, solving problems of dynamic code generation and secure dependency management in AI workflows. It takes Python code as input and outputs the execution results, providing a secure interface for running code with access to predefined libraries. Ideal for use cases like data analysis, algorithm testing, and automated scripting tasks that require flexible environment management.

Canonical page: https://skillsregistry.net/skills/bazinga012-code-executor  
JSON: https://api.skillsregistry.net/v1/skills/bazinga012-code-executor

## Description

This MCP Code Executor, developed by bazinga012, enables AI assistants to execute Python code within specified Conda environments. Built using TypeScript and the Model Context Protocol SDK, it provides a secure and configurable way to run code with access to predefined libraries and dependencies. The implementation focuses on isolating code execution, allowing for flexible environment management and code storage. It's particularly useful for AI workflows that require dynamic code generation and execution, such as data analysis, algorithm testing, or automated scripting tasks, without compromising system security or managing complex runtime setups.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bazinga012-code-executor)
- **Repository:** <https://github.com/bazinga012/mcp_code_executor>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bazinga012-code-executor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bazinga012-code-executor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bazinga012-code-executor/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt