by bgauryy · MCP Server · ★ 873
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Octocode: Research Driven Development for AI Research like a Senior Staff Engineer.In every codebase, in seconds. Stop guessing. Octocode researches code locally and externally: your own workspace (ripgrep + LSP-level go-to-definition, references, call hierarchy) and the world's (GitHub repos, PRs, npm/PyPI packages), turning it into verifiable evidence your AI can search, read, and trace. Use it as an MCP server inside your AI assistant, or as a terminal CLI. octocode.ai · MCP Server · CLI · Skills Two ways to run Octocode Quick scripted lookups, CI, piping to othe
| Stars | 873 |
| Forks | 74 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.8368350790698/100 |
| Open Issues | 6 |
| Last Updated | 2026-06-29 |
| Created | 2025-06-05 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~17k |
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octocode is 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 codeb. It is categorized as a MCP Server with 873 GitHub stars.
octocode is primarily written in TypeScript. It covers topics such as agent, ai, ai-agents.
You can find installation instructions and usage details in the octocode GitHub repository at github.com/bgauryy/octocode. The project has 873 stars and 74 forks, indicating an active community.
octocode is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to octocode on Agent Skills Hub include jcodemunch-mcp, atlassian-mcp-server, dexto. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.