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.

🎯 Why Octocode MCP?

Octocode MCP closes the code‑context 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.

🚀 Core capabilities

• 🌍 context generation from code anywhere
• 🔍 Smart semantic code discovery
• 🌟 Learn and search anything from top public repositories
• 🧭 Discover anything from complex multi‑repo scenarios
• 🏗️ Ecosystem‑aware solutions across stacks and orgs
• 📚 Docs and example enrichment from production code
• 🔄 Progressive research flows for deep understanding

💡 Ideal for

• Code creation, complex bug fixes, architecture insight, documentation, learning, and navigating large codebases...

🚀 Quick Setup

Prerequisites

• Node.js >= 18.12.0
• GitHub Authentication (choose one method below)

Authentication Setup

Option 1: GitHub CLI (Recommended)

# Install GitHub CLI if needed
# macOS: brew install gh
# Windows: winget install --id GitHub.cli

# Authenticate
gh auth login

Option 2: Personal Access Token

1. Create token at GitHub Settings → Personal Access Tokens
2. Required scopes: repo, read:user, read:org

MCP Configuration

Add to your AI assistant's MCP configuration:

With GitHub CLI:

{
  "mcpServers": {
    "octocode": {
      "command": "npx",
      "args": ["octocode-mcp@latest"]
    }
  }
}

With Personal Access Token:

{
  "mcpServers": {
    "octocode": {
      "command": "npx", 
      "args": ["octocode-mcp@latest"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

That's it! Your AI assistant can now search and analyze GitHub repositories.

🛠️ Available Research Tools

Default tools are automatically enabled. Non-default tools require configuration (see Advanced Setup below).

🎯 Real-World Context Creation Examples

Code Creation Context:

"I need to implement OAuth2 in my Node.js app - show me real implementations"
→ Finds proven OAuth2 patterns → Analyzes security practices → Provides implementation context

Complex Ecosystem Solutions:

"How do large organizations handle microservices communication?"
→ Discovers enterprise patterns → Examines real architectures → Explains design decisions

Documentation Enhancement:

"Find real examples of GraphQL error handling for my API docs"
→ Searches GraphQL implementations → Extracts error patterns → Provides documentation examples

Best Practices Discovery:

"What are the current best practices for React state management in 2024?"
→ Analyzes modern React apps → Compares state solutions → Identifies trending patterns

See the dramatic difference in AI assistant capability: 🎯 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.

📺 Examples

Example 1: Deep code research with Octocode

• Prompt:

Explain deeply how React hooks work under the hood, using information from code and documents.
Provide a technical explanation, covering both basic and advanced concepts.
Do a deep research

• 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

⚙️ Advanced Configuration

Tool Selection

# Run only specific tools (exclusive mode)
export TOOLS_TO_RUN="githubSearchCode,githubSearchRepositories"

# Enable additional tools (additive mode) 
export ENABLE_TOOLS="githubSearchPullRequests"

# Disable specific default tools
export DISABLE_TOOLS="githubViewRepoStructure"

# Enable experimental features
export BETA="1"

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

📚 Documentation & Resources

🌟 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

💬 Support & Community

• Issues & Bugs: GitHub Issues
• Discussions: GitHub Discussions
• Documentation: octocode.ai

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