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octocode

by bgauryy · TypeScript · ★ 870

View on GitHub ↗

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

#agent#ai#ai-agents#ai-tools#claude-ai#code-intelligence#code-search#context#cursor#cursor-ai#development#github#github-api#llm#mcp#model-context-protocol#modelcontextprotocol#octocode#semantic-search#vibe-coding

Install

npx -y github:bgauryy/octocode

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars): 

{
  "mcpServers": {
    "octocode": {
      "command": "npx",
      "args": [
        "-y",
        "github:bgauryy/octocode"
      ]
    }
  }
}

From the README

[](https://github.com/modelcontextprotocol/servers) [](https://deepwiki.com/bgauryy/octocode) [](https://octocode.ai) [](https://www.youtube.com/@Octocode-ai) **Evidence-first code research for AI agents and developers.** Octocode gives an agent the full context it needs to change, review, or explain code: real evidence from your **local workspace** and from **external** sources (GitHub repositories, pull requests, and npm packages). One toolset covers all of it: ripgrep and AST structural search, repository tree browsing, precise content fetching, LSP semantic navigation, and binary i…
Read full README on GitHub →

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