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octocode-mcp

octocode-mcp

Сообщество

от bgauryy

0.0
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MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere

Установка

{

Описание

<div align="center"> <img src="https://github.com/bgauryy/octocode-mcp/raw/main/packages/octocode-mcp/assets/logo_white.png" width="400px" alt="Octocode Logo"> A Model Context Protocol (MCP) server enabling AI assistants to search, analyze, and extract insights from millions of GitHub repositories with enterprise-grade security and token efficiency. [![MCP Community Server](https://img.shields.io/badge/Model_Context_Protocol-Official_Community_Server-blue?style=flat-square)](https://github.com/modelcontextprotocol/servers) [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/bgauryy/octocode-mcp) [![Trust Score](https://archestra.ai/mcp-catalog/api/badge/quality/bgauryy/octocode-mcp)](https://archestra.ai/mcp-catalog/bgauryy__octocode-mcp) <a href="https://www.npmjs.com/package/octocode-mcp"><img alt="npm version" src="https://img.shields.io/npm/v/octocode-mcp?label=npm&color=cb3837"></a> <a href="https://www.npmjs.com/package/octocode-mcp"><img alt="npm downloads" src="https://img.shields.io/npm/dm/octocode-mcp?color=cb3837"></a> <a href="./LICENSE"><img alt="License" src="https://img.shields.io/badge/license-MIT-green"></a> <a href="https://octocode.ai"><img src="https://img.shields.io/badge/Website-007ACC?style=for-the-badge&logo=link&logoColor=white" alt="Website"></a> <a href="https://www.youtube.com/@Octocode-ai"><img src="https://img.shields.io/badge/YouTube-FF0000?style=for-the-badge&logo=youtube&logoColor=white" alt="YouTube Channel"></a> <br /> <br /> <a href="https://cursor.com/en/install-mcp?name=octocode&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyJvY3RvY29kZS1tY3BAbGF0ZXN0Il19"><img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Install in Cursor" width="180px"></a> </div> --- <div align="center"> ### ✨ Featured On [![MCP Official Servers](https://img.shields.io/badge/MCP-Official%20Community%20Server-007ACC?style=for-the-badge&logo=github&logoColor=white)](https://github.com/modelcontextprotocol/servers) [![Awesome MCP Servers](https://img.shields.io/badge/Awesome-MCP%20Servers-FF6B6B?style=for-the-badge&logo=github&logoColor=white)](https://github.com/punkpeye/awesome-mcp-servers) </div> --- ## Table of Contents - [See It In Action](#see-it-in-action) - [Installation](#installation) - [More Examples](#more-examples) - [Overview](#overview) - [Tools](#tools) - [Commands](#commands) - [/research - Expert Code & Product Research](#research---expert-code--product-research) - [/plan - Research, Plan & Implement Complex Tasks](#plan---research-plan--implement-complex-tasks) - [/review_pull_request - Comprehensive PR Review](#review_pull_request---comprehensive-pr-review) - [/review_security - Security Audit](#review_security---security-audit) - [Documentation](#documentation) - [Project Stats](#project-stats) - [Community](#community) - [License](#license) --- ## See It In Action ### Full-Stack Application Built in Under 10 Minutes Watch AI assistant use Octocode to research, plan, and build a complete chat application with Express backend. **Prompt:** > **Use Octocode MCP for Deep Research** > > I want to build an application with chat (front-end) that shows a chat window to the user. > The user enters a prompt in the chat, and the application sends the prompt to an Express backend that uses AI to process the request. > > Add a return box (to show the message returned from the AI) and loaders to the UI. > I want to build an AI agent system in Node.js using LangChain and LangGraph. Can you research the latest patterns? > > Please conduct thorough research on how to create this in the best way possible. > Focus on repositories with good documentation and recent activity. > > - Do a deep research > - Create a plan document > - Initiate the plan and create the application **Phase 1: Research & Planning** https://github.com/user-attachments/assets/4225ab98-ae2f-46dc-b3ce-7d117e552b8c [Octocode Plan Document](https://gist.github.com/bgauryy/06504671c0d5fef727fe22c492e054d6) - Detailed architecture and step-by-step guide **Phase 2: Implementation** https://github.com/user-attachments/assets/2aaee9f1-3592-438a-a633-255b5cbbb8e1 **Result**: Production-ready full-stack application with authentication, real-time features, and best practices - **All in less than 10 minutes** --- ### Research and Build Fullstack Agentic Application with /research command in Under 10 Minutes **Why use the `/research` command?** Instead of manually searching through repositories and piecing together information, let the AI conduct comprehensive research for you: - **🎯 Intelligent Tool Orchestration**: Automatically selects and combines the right Octocode tools (repository search, code search, file content, PR analysis, repo structure) based on your research needs - **🧠 Smart Decision Making**: Makes strategic choices throughout the research flow—when to search broadly vs. specifically, which repositories to explore, and how to valida

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