ai-control-framework
by sgharlow
Overview
AI-powered development workflow management and prompt optimization, enforcing disciplined software development practices for AI coding agents.
Installation
node dist/index.jsEnvironment Variables
- FASTMCP_LOG_LEVEL
Security Notes
The server frequently uses 'execSync' to run shell commands, often interpolating user-provided inputs (e.g., feature names, issue descriptions, project names) directly into these commands. This pattern is highly vulnerable to command injection if inputs are not meticulously sanitized. While some script generation uses heredocs which offer slight protection, direct command execution with untrusted inputs poses a significant risk. The 'emergency' prompt, explicitly designed for critical contract changes, involves direct modification of files and Git operations, which amplifies this risk if not used in a highly controlled, human-supervised environment with robust input validation.
Similar Servers
tmcp
A server implementation for the Model Context Protocol (MCP) to enable LLMs to access external context and tools.
iron-manus-mcp
Orchestrates AI workflows with an 8-phase control flow and focused tools, acting as a Model Context Protocol (MCP) server for complex project management.
mcp-ai-agent-guidelines
A comprehensive AI agent development framework focused on structured design, prompt engineering, code analysis, and agent-to-agent orchestration for developers.
athena-protocol
An intelligent MCP server that acts as an AI tech lead for coding agents, providing expert validation, impact analysis, and strategic guidance before code changes are made.