Octocode MCP is an AI-optimized code assistant for advanced GitHub and npm/PyPI ecosystem exploration and analysis.
GitHub Repository Discovery & Analysis: Search and analyze repositories (including private ones) by topics, languages, stars, activity, and explore their detailed structures
Code Search & Content Retrieval: Perform semantic code searches and fetch file contents with token optimization and fallback handling
Project History & Collaboration Research: Analyze commits (with diffs), issues, and pull requests to understand project evolution and team collaboration
Package Ecosystem Intelligence: Search and retrieve comprehensive metadata across npm and PyPI packages for dependency analysis and discovery
AI Context Generation: Extract token-efficient context from diverse code resources to enhance AI capabilities for code analysis and documentation
Enterprise & Security: Support private organizations with production-ready security features like secret detection and content sanitization
API Status Verification: Check GitHub/npm connections, organizations, and access permissions
Integration for supporting the developer through the Buy Me a Coffee platform
Provides deep search and discovery across GitHub repositories, enabling access to code, issues, pull requests, and commit histories from both public and private repositories while respecting organizational permissions
Provides specialized search capabilities for Next.js applications, particularly for finding authentication patterns and implementation examples
Enables package discovery and analysis in the Node.js ecosystem, with capabilities to research metadata, dependencies, and repository connections
Allows exploration of Python packages with cross-ecosystem comparison capabilities
Offers targeted research into React's implementation details, including specific features like concurrent rendering
Octocode MCP - Smart Assistant for Code Context Creation
The missing piece for AI agents that need quality code context. Transform any AI assistant into a code research expert that enriches context for better code handling, documentation, and complex ecosystem solutions.
π― Why Octocode MCP?
Octocode MCP closes the codeβcontext gap by giving AI assistants secure, real-time access to public/private code anywhere so they reason from real implementations and have a better, more quality context.
π Core capabilities
π context generation from code anywhere
π Smart semantic code discovery
π Learn and search anything from top public repositories
π§ Discover anything from complex multiβrepo scenarios
ποΈ Ecosystemβaware solutions across stacks and orgs
π Docs and example enrichment from production code
π Progressive research flows for deep understanding
π‘ Ideal for
Code creation, complex bug fixes, architecture insight, documentation, learning, and navigating large codebases...
π Quick Setup
Prerequisites
Node.js >= 18.12.0
GitHub Authentication (choose one method below)
Authentication Setup
Option 1:
Option 2: Personal Access Token
Create token at GitHub Settings β Personal Access Tokens
Required scopes:
repo
,read:user
,read:org
MCP Configuration
Add to your AI assistant's MCP configuration:
With GitHub CLI:
With Personal Access Token:
That's it! Your AI assistant can now search and analyze GitHub repositories.
π οΈ Available Research Tools
Tool | Purpose | Default | Description |
| Code Discovery | β | Search code across repositories with semantic queries |
| Repository Discovery | β | Find repositories by topic, language, or description |
| Structure Analysis | β | Explore repository file structure and navigation |
| Content Access | β | Fetch specific files or code sections with context |
| History Analysis | β | Analyze pull requests and code changes |
Default tools are automatically enabled. Non-default tools require configuration (see Advanced Setup below).
π― Real-World Context Creation Examples
Code Creation Context:
Complex Ecosystem Solutions:
Documentation Enhancement:
Best Practices Discovery:
See the dramatic difference in AI assistant capability: π― Live Demo: ThreeJS Code Creation Comparison
This interactive comparison shows how Octocode MCP transforms AI assistants from providing generic code suggestions to delivering expert-level, context-rich implementations with real-world patterns and best practices.
πΊ Examples
Example 1: Deep code research with Octocode
Prompt:
Video: YouTube
Example 2: Learn about AI Agents using Octocode
Goal: Create context for agents creation
Video: YouTube
Example 3: Review PRs using Octocode
Video: YouTube
βοΈ Advanced Configuration
Tool Selection
Note: TOOLS_TO_RUN
cannot be combined with ENABLE_TOOLS
/DISABLE_TOOLS
.
Enterprise Features
Content Sanitization: Automatic detection and redaction of sensitive data
Smart Token Management: Efficient content reduction for large codebases
Access Control: Uses your GitHub permissions (public/private repositories)
Rate Limiting: Built-in GitHub API rate limit handling
π Documentation & Resources
Resource | Description |
Official website | |
Video tutorials and demos | |
20+ examples and best practices | |
Complete setup and enterprise features | |
Complete API reference for all tools | |
System design and performance details | |
Utility library for token-efficient minification and helpers used by Octocode |
π Featured On
Official Community MCP Server
modelcontextprotocol/servers
Community Collections
punkpeye/awesome-mcp-servers
appcypher/awesome-mcp-servers
wong2/awesome-mcp-servers
Puliczek/awesome-mcp-security
MCP Directories & Tools
π¬ Support & Community
Issues & Bugs: GitHub Issues
Discussions: GitHub Discussions
Documentation: octocode.ai
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Tools
AI-powered code assistant that provides advanced search and discovery capabilities across GitHub and NPM ecosystems, helping users understand code patterns, implementations, and connections between repositories.
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