by bgauryy
Enables AI assistants to perform deep, semantic code search, repository analysis, and package discovery across public and private GitHub repositories, delivering structured, AI‑optimized context for development workflows.
Octocode MCP provides a comprehensive set of tools that let AI assistants analyze GitHub repositories, execute semantic code searches, inspect commits, PRs, and explore NPM/Python packages. It turns raw code bases into structured knowledge that can be consumed instantly by AI models.
npx octocode-mcp@latest
GITHUB_TOKEN
environment variable, GH_TOKEN
, or use the GitHub CLI).Q: Do I need a GitHub token?
A: Yes, for full functionality. Set GITHUB_TOKEN
(or GH_TOKEN
) or log in with the GitHub CLI.
Q: Can I use Octocode MCP with private repositories? A: Absolutely. Once authenticated, the server can access any repositories your token has permission to view.
Q: Which AI assistants are compatible? A: Any assistant that implements the Model Context Protocol, such as Claude, Cursor, and similar tools.
Q: How is the output formatted? A: JSON structures optimized for token efficiency, with optional natural‑language summaries.
Q: Is there an easy install for non‑technical users?
A: The recommended one‑liner with npx
handles download and execution without a global install.
The Complete AI-Powered Code Analysis and Research Platform
Octocode is a revolutionary AI-powered code analysis and research platform that transforms how developers, teams, and organizations understand, explore, and work with codebases. Built on the Model Context Protocol (MCP), Octocode provides AI assistants with unprecedented capabilities to analyze GitHub repositories, search code semantically, and extract actionable insights from millions of open-source and private repositories.
While most code context and research MCPs rely on documentation from a single repository, Octocode focuses on actual code analysis and documentation from real repositories at runtime, understanding complex flows anywhere in the GitHub ecosystem.
For Organizations: Unlock institutional knowledge trapped in private repositories, understand complex multi-service architectures, and maintain coding standards across teams through intelligent pattern recognition and cross-repository analysis.
For Public Search: Discover proven implementations from millions of open-source repositories, learn from the best practices of top developers, and find battle-tested solutions to any coding challenge through semantic code discovery.
Octocode can research and analyze any flow and complexity through smart research, leveraging real data and intelligent LLM communication.
In the age of AI-assisted development, the bottleneck isn't writing code—it's understanding existing codebases, discovering proven patterns, and extracting institutional knowledge. Octocode bridges this gap by making any codebase instantly accessible and comprehensible to AI assistants, enabling:
Navigate complex multi-repo architectures, understand organizational issues at scale, and generate custom documentation on-demand from real code examples. Create contextual documentation directly in your IDE, or ask Octocode to learn from any repository and implement similar patterns in your current project.
Gain unprecedented visibility into application behavior through semantic code search, track development progress across teams, and understand the real implementation behind product features.
Discover security patterns, vulnerabilities, and compliance issues across both public and private repositories with advanced pattern matching and cross-codebase analysis.
Dramatically increase development velocity by enabling teams to instantly learn from existing codebases, understand cross-team implementations, and replicate proven patterns—transforming institutional knowledge into actionable development acceleration.
The Octocode platform consists of specialized packages, each serving a critical role in the AI-powered code analysis pipeline:
The heart of the Octocode platform - A comprehensive MCP server that provides AI assistants with 8 specialized tools for GitHub repository analysis, code discovery, and package exploration.
Key Capabilities:
Perfect For: AI assistants that need comprehensive code research capabilities
📚 Read the Complete MCP Documentation →
Shared utilities powering the entire ecosystem - Essential tools for content processing, AI optimization, and data transformation used across all Octocode packages.
Core Features:
Perfect For: Developers building MCP applications or AI content processing tools
📚 Read the Complete Utils Documentation →
Model Context Protocol (MCP) is a revolutionary standard that enables AI assistants to connect with external tools and data sources securely and efficiently. Think of it as the "API standard" for AI applications.
Traditional AI assistants are limited to their training data and can't access real-time information or perform actions in external systems. MCP solves this by providing:
Octocode leverages MCP to transform AI assistants into powerful code researchers:
AI Assistant ←→ MCP Protocol ←→ Octocode Tools ←→ GitHub/NPM APIs
↑ ↓
Natural Structured
Language Data
Queries & Actions
The Flow:
Get Octocode running in your AI assistant in just a few steps:
claude mcp add octocode npx 'octocode-mcp@latest'
# Option A: GitHub CLI (easiest)
gh auth login
# Option B: Set environment variable
export GITHUB_TOKEN="your_github_token"
# Option C: Authorization header format
export Authorization="Bearer your_github_token"
Ask your AI assistant: "Use Octocode to find React authentication patterns"
For AI-powered code research:
# NPM global install
npm install -g octocode-mcp
# Yarn global install
yarn global add octocode-mcp
For custom development:
# MCP Server
npm install octocode-mcp
# Utilities
npm install octocode-utils
Configure GitHub access for enhanced capabilities:
Option 1: Environment Variable (Recommended)
{
"octocode": {
"command": "npx",
"args": ["octocode-mcp"],
"env": {
"GITHUB_TOKEN": "your_github_token"
}
}
}
Option 1b: Authorization Header Format
{
"octocode": {
"command": "npx",
"args": ["octocode-mcp"],
"env": {
"Authorization": "Bearer your_github_token"
}
}
}
Option 2: GitHub CLI (Automatic)
Using GitHub CLI provides seamless authentication after running gh auth login
:
{
"octocode": {
"command": "npx",
"args": ["octocode-mcp"]
}
}
Octocode uses a smart authentication fallback system that tries multiple methods in order:
GITHUB_TOKEN
- Direct GitHub token environment variableGH_TOKEN
- Alternative GitHub token environment variablegh auth login
Authorization
- Bearer token from Authorization header format (Bearer {{token}}
)Organizational Intelligence
Security & Compliance
Learning & Discovery
Development Acceleration
Code Analysis
Ecosystem Understanding
For detailed technical architecture, implementation details, and advanced features, see our comprehensive Technical Architecture Documentation.
Octocode represents the future of AI-assisted development where artificial intelligence meets human creativity to unlock the full potential of the world's code. Whether you're a solo developer looking to learn from the best, an enterprise team seeking to leverage institutional knowledge, or a researcher analyzing code at scale, Octocode provides the tools and insights you need.
Start your journey today:
MIT License - See LICENSE for details.
🌐 Website • 🐦 Twitter • ⭐ GitHub • 📧 Contact • ☕ Buy Me a Coffee
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{ "mcpServers": { "octocode": { "command": "npx", "args": [ "octocode-mcp@latest" ], "env": { "GITHUB_TOKEN": "<YOUR_GITHUB_TOKEN>" } } } }
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