The Octocode MCP Server is a research-driven development environment that connects your AI assistant to code repositories and local tools. You can:
Code Search and Exploration: Search GitHub, GitLab, Bitbucket, and local files for code patterns, functions, classes, and symbols using advanced search, file content retrieval, and repository structure visualization.
Repository and Package Management: Discover repositories by topics, owners, or keywords; explore package sources from npm, PyPI, and other ecosystems; and examine dependencies and repository structures.
Research and Planning: Conduct research on code, bugs, features, or large refactors; plan development tasks with research-backed insights; and review pull requests comprehensively.
Local File System Operations: Investigate local files and directories, find files by metadata, read file contents, and navigate codebases for detailed analysis.
LLM-Driven Project Scaffolding: Generate new projects with architectural guidance, leveraging research tools for best practices and feature implementation.
Octocode: Research Driven Development for AI
Stop Guessing. Start Knowing.
Empower your AI assistant with the skills of a Senior Staff Engineer.
This is a yarn-workspaces monorepo. Each package has its own README.md; all setup/reference docs live in docs/, and all AI agent guidance lives in the root AGENTS.md.