Manages AI assistants exposed by an `ai_server` instance for integration with Codex.
Sponsored
This project provides a stdio MCP server, enabling Codex to seamlessly manage AI assistants hosted by an `ai_server`. It centralizes the creation, retrieval, updating, and deletion of assistants, streamlining their lifecycle management within a development workflow. The server uses a shared service credential for secure access to `ai_server`'s API, eliminating the need for individual teammate credentials and simplifying integration. It focuses on core assistant CRUD operations, leaving advanced features like threads and custom tools for future iterations.
Key Features
01Retrieve a specific assistant by ID
02Create new AI assistants with configurable properties
03Update existing AI assistant configurations
04List all available AI assistants
050 GitHub stars
06Delete assistants with explicit confirmation
Use Cases
01Automating the lifecycle of AI assistants within a team's MLOps or DevOps pipelines
02Programmatically creating, updating, and maintaining AI assistants for various applications
03Integrating AI assistant management directly into Codex-powered development environments
