Octocode

Provides an MCP server that enables AI agents to access GitHub, local filesystem, and LSP-based code understanding for research-driven development.

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GitHub Stars

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

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

You are using Octocode MCP Server, an agentic code research platform that lets AI assistants search, analyze, and extract insights from large code ecosystems with enterprise-grade security and token efficiency. It wires your AI workflows to productive code sources, enabling deep research, planning, and implementation across millions of GitHub repositories.

How to use

You interact with the server through an MCP-compatible client. The server provides structured tools to perform intelligent code discovery, content extraction, and secure access to repositories. To start a session, configure your MCP client to connect to the Octocode MCP server, then issue prompts that leverage the available research capabilities to discover code patterns, inspect repository structures, and retrieve targeted file content.

How to install

Prerequisites you need before installation: Node.js version 18.12.0 or newer, and a method to authenticate with GitHub (see the authentication methods below). Install the MCP client and register the Octocode MCP server using the standard configuration shown here.

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

Authentication methods

Octocode MCP supports two authentication methods. Choose the one that fits your environment.

Option 1: GitHub CLI (Recommended) enables automatic token management and supports 2FA and SSO. Install the GitHub CLI, authenticate, and then use the standard configuration without a personal access token.

Option 2: Personal Access Token is used for CI/CD or automation. Create a token with scopes: repo, read:user, read:org, then include it in your MCP configuration under GITHUB_TOKEN.

Verify installation

After installation, restart your MCP client and verify the connection status in your client’s MCP tools area. Run a simple query like searching for React hooks implementations to confirm that Octocode MCP is actively used.

Security and access

The server is designed to respect repository permissions and apply content sanitization to protect sensitive data. If you operate with GitHub Enterprise, set the GITHUB_API_URL to your instance’s API endpoint and provide a token with the appropriate scopes.

Examples and workflows

Use the MCP prompts to perform deep research, plan complex tasks, and review changes. The system supports cross-repo analysis, pattern discovery, and security-focused investigations to help you build robust features quickly.

Available tools

Correct Prompts

Auto-injects research-driven prompts to ensure AI agents follow the RDD workflow and maintain context.

Advanced Planning

Breaks complex problems into specific, research-focused questions to guide the agent’s investigation.

Deep Research

Orchestrates the right MCP tools in the right order (Search → Go to Definition → Read) for effective code understanding.

Parallel Agents

Spawns sub-agents to perform parallel research tasks, accelerating the investigation process.