by bgauryy · MCP Server · ★ 904
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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 | 904 |
| Forks | 77 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.3256872312438/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-08 |
| Created | 2025-06-05 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~17k |
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octocode is Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI. It is categorized as a MCP Server with 904 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 904 stars and 77 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, OpenContext. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.