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mcp_coder

Verified Safe

by MarcusJellinghaus

Overview

An AI-powered software development automation toolkit that uses LLMs (specifically Claude) for various tasks such as code analysis, commit message generation, planning, implementation, and pull request creation. It integrates with Git, GitHub, and Jenkins for orchestrating and automating development workflows.

Installation

Run Command
mcp-coder coordinator run --all

Environment Variables

  • GITHUB_TOKEN
  • JENKINS_URL
  • JENKINS_USER
  • JENKINS_TOKEN

Security Notes

The system interacts with external APIs (LLMs, GitHub, Jenkins) and executes shell commands, which inherently involves network and process execution risks. Credentials for GitHub and Jenkins are managed through environment variables or a TOML configuration file, with sensitive fields redacted in logs. The `subprocess_runner.py` module contains an internal testing flag (`_DISABLE_STDIO_ISOLATION`) that bypasses safety mechanisms, but it is explicitly marked as 'NEVER be used in production code'. No hardcoded secrets or obvious malicious patterns were found in the provided snippets. Overall, it follows standard practices for handling sensitive configurations, but requires careful management of API tokens and execution environments.

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Stats

Interest Score0
Security Score7
Cost ClassHigh
Avg Tokens15000
Stars0
Forks0
Last Update2026-01-19

Tags

AILLMCode GenerationCode ReviewGitGitHubAutomationWorkflowCLIPythonClaudeJenkinsDeveloper Tools