What is Model Context Protocol (MCP) and how does this tool use it?

MCP enables communication between different tools and agents. This tool implements both MCP server and client functionality, facilitating complex workflows and integrations.

How can I track my costs using OpenAI Code Assistant?

It offers real-time cost management features to track token usage and expenses, helping you stay within your budget.

What kind of tools are available?

Includes file operations (view, edit, replace), search (GlobTool, GrepTool), shell command execution (Bash), and directory listing (LS).

What is OpenAI Code Assistant?

It's a command-line and API-based coding assistant that leverages OpenAI's APIs, function calling, and streaming for enhanced code generation and problem-solving.

What LLM providers does it support?

The tool supports multiple LLM providers, including OpenAI and Anthropic, allowing you to choose the best model for your needs.

OpenAI Code Assistant

Name: OpenAI Code Assistant
Author: arthurcolle

byarthurcolle

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Desarrollo de API

Herramientas para Desarrolladores

Otros

Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.

openai-mcp is a powerful coding assistant designed to streamline software development tasks. It offers both an interactive command-line interface (CLI) and a web API for seamless integration with various applications. Built with a tool-based architecture for extensibility, it supports Model Context Protocol (MCP), replication for high availability, and reinforcement learning for tool optimization. Features include real-time tool visualization, cost management, and support for multiple LLM providers, making it a versatile solution for individual developers and larger teams.

Características Principales

01Provides a comprehensive tool suite for file operations, search, and command execution

02Includes enhanced UI with progress indicators and syntax highlighting

03Offers real-time tool visualization and cost management

04Implements Model Context Protocol (MCP) server and client functionality

05Supports multiple LLM providers including OpenAI and Anthropic

Casos de Uso

01Building multi-agent systems for complex problem-solving

02Automating code generation and debugging

03Integrating LLM-powered coding assistance into existing workflows